Martin Luther University Halle-Wittenberg

Salary Package $120,623 (ACA A.8) plus 17% employer's superannuation contribution and annual leave loading. Appointment Type: Full-time, 3 year fixed term role Build and expend your academic networks and advance your career THE ROLE An exciting opportunity for a Postdoctoral Research Fellow in Extracellular Vesicle Analysis exists in the School of Natural Sciences at Macquarie University, as part of an ARC Discovery Project. We are seeking a qualified Research Fellow to join a team with an international reputation for producing high quality research outcomes in the area of innovative spectroscopic tools for EV analysis. The position consists of leading the development of new EV engineering platform for a better understanding of the chirality of EV for an enhanced cellular uptake. The successful candidate will report to Professor Yuling Wang, and will undertake the following responsibilities as a Postdoctoral Research Fellow: Development of highly innovative platform for engineering of chiral extracellular vesicles (EVs) Maintenance and supervision of EV Analysis Facility at Macquarie University Work in supportive, collegiate team environment; Undertake independent research in the area of EV analysis using a serial of spectroscopic tools; Prepare, write, and submit high-quality research manuscripts for publication in peer-reviewed journals; Collaborate with senior staff to actively seek and secure external funding, prepare and submit research proposals to external funding bodies as appropriate; Foster interdisciplinary collaborations within the University and with external partners, including industry where appropriate; Take responsibility for health and safety in the workplace; We very much look forward to hearing from applicants who have demonstrated excellence in their past research, have several of the technical skills required to match the demands of this project, and who are keen to engage in a project that involves collaboration with academic and industry partners.] About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science and technology innovators. From a handful of students on the University's first day, the Faculty now serves over 8,000 students across all our courses. The School of Natural Sciences at Macquarie University was established on 1 January 2022 through the amalgamation of the Departments of Biological Sciences, Molecular Sciences, and Earth and Environmental Sciences. The School is the largest in the Faculty of Science and Engineering and is a vibrant community of educators, researchers and students working across a wide range of biological, biomolecular, biomedical, chemical, environmental and geoscience disciplines. How to Apply To be considered for this position, applicants must address the selection criteria below and attach your CV (including a list of three referees). Essential A PhD in analytical chemistry, bioanalysis, biosensors or a related discipline and/or relevant experience with combination of qualifications and skill; Experience in cell biology and biotechnology Experience in nanomaterials and extracellular vesical research Evidence of research excellence and independence in one or more relevant areas, demonstrated through high-quality peer-reviewed publications; Ability to assist in the supervision of students working on research projects; Experience in project leadership including in an interdisciplinary/ multidisciplinary team, with the ability to design, conduct and analyse research projects; High quality interpersonal, oral and written communication skills to effectively engage with internal and external collaborators Ability for analytical thinking and independent problem solving. Knowledge of WHS principles, commitment to attend relevant training. Candidates must have Valid Australian working rights. A police/criminal history check is required for this role. The Faculty of Science and Engineering at Macquarie University has a goal to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles. Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion. Enquiries: For enquiries, or a confidential conversation about the role please contact Prof Yuling Wang on yuling.wang@mq.edu.au or +61 2 9850 6914 or Kate Williams, TA Consultant k.williams@mq.edu.au. Applications Close: Monday 6th of July 2026 at 11:59pm (AEST) *** Applications will be reviewed as they are received, and we reserve the right to progress or decline an application prior to the application closing date. We also reserve the right to close the advertisement early if a sufficient number of qualified applicants is received. Why Join Us? Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation over 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today. We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the fabulous staff benefits on offer when you work at Macquarie University. Pre-Employment Checks Macquarie University/Health cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University/Health. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.

Description The Instructional Designer (Teaching & Learning Innovation) works in close partnership with the Teaching and Learning Specialist and faculty and academic staff to design, implement, and evaluate innovative teaching and assessment practices. The role supports the thoughtful integration of AI and other emerging technologies as part of a broader effort to enhance student learning and advance discipline-specific thinking. Central to the role is ensuring that technology is used in ways that complement and augment, rather than replace, student learning, motivation, and intellectual effort. Grounded in evidence-based teaching and learning principles, this position focuses on translating pedagogical strategies into practical course designs, assignments, and assessments that strengthen foundational skills, critical thinking, and student engagement. The role emphasizes hands-on collaboration with faculty to pilot new approaches, adapt assignments and assessments in response to evolving learning contexts, and develop scalable models of instructional innovation. The Instructional Designer for Learning Innovation reports to the Director of the Hilary Ballon Center for Teaching and Learning. The Hilary Ballon Center for Teaching and Learning (HBCTL) partners with faculty, academic staff, and collaborators across NYU Abu Dhabi to advance inclusive, innovative, and evidence-informed teaching that supports student learning, belonging, and success. Through support for faculty innovation in the classroom, interdisciplinary exchange, teaching communities, and the scholarship of teaching and learning, HBCTL fosters reflective teaching practice and advances pedagogical approaches that respond to evolving educational challenges and emerging technologies within a global liberal arts context. Key Responsibilities 1. Instructional Design & Faculty Collaboration Partner with faculty to redesign courses, assignments, and assessments that integrate AI and other learning technologies Translate teaching and learning theory into practical, discipline-specific instructional strategies Support faculty in aligning learning outcomes, activities, and assessments in technology-enhanced environments 2. AI Integration & Assessment Transformation Help faculty adapt and redesign assessments in response to AI-enabled student practices Develop AI-integrated, AI-cognizant, and AI-resistant assignment strategies Support ethical and pedagogically meaningful uses of AI in coursework 3. Pilot Projects & Innovation Co-design and implement pilot initiatives exploring new models of teaching and learning with AI and emerging technologies Iterate on designs based on feedback, student performance, and faculty input Contribute to scaling successful innovations across programs 4. Learning Science & Student Experience Apply principles from the learning sciences, including motivation, cognitive load, and skill development, to instructional design Ensure that course designs promote deep learning, critical thinking, and sustained student engagement Evaluate how technology impacts student effort, persistence, and learning behaviors 5. Evaluation, Metrics & Impact Develop and apply metrics to assess the effectiveness of instructional and technological interventions Analyze student learning data and feedback to inform continuous improvement Contribute to evidence-based decision-making around teaching innovation 6. Tools, Resources & Capacity Building Develop practical guides, templates, and examples for faculty integrating AI and technology into teaching Support workshops and training sessions focused on instructional design and AI in education Stay current with emerging technologies and evaluate their relevance for teaching and learning About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.  NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. Qualifications Key Qualifications Education: Master’s degree in Instructional Design, Learning Sciences, Educational Technology, Education, or a related field, or equivalent combination of education and experience Experience & Expertise:  Minimum of 3–5 years of experience in instructional design, educational technology, or teaching and learning support in higher education Demonstrated experience designing or redesigning courses, assignments, and assessments in collaboration with faculty Strong understanding of learning sciences, including motivation, cognitive processes, and development of foundational skills such as critical thinking and problem-solving Experience applying evidence-based pedagogical practices to technology-enhanced learning environments AI & Technology Integration Understanding of generative AI and other emerging technologies and their implications for teaching, learning, and assessment Experience or demonstrated ability to integrate AI and digital tools into course design in ways that enhance (not replace) student learning Ability to critically evaluate AI-facilitated applications and align their use with learning outcomes and academic integrity Assessment & Evaluation Experience designing and evaluating assessments aligned with learning outcomes Ability to develop and use metrics to assess student learning, engagement, and the effectiveness of instructional interventions Experience analyzing student data and feedback to inform iterative course and assessment design Skills & Competencies Strong collaboration skills, with the ability to work closely with faculty across disciplines Ability to translate theory into practical, discipline-specific teaching strategies Excellent communication skills, including the ability to create clear, actionable guidance and resources Strong project management skills and ability to manage multiple initiatives simultaneously Commitment & Orientation Commitment to inclusive and student-centered teaching practices Interest in innovation in teaching and learning within a global liberal arts context Application Instructions To apply for this position, please submit the following documents: CV Cover Letter List three professional references, including their names and email addresses. They may be contacted at a later stage of the process. We will begin reviewing applications on June 8th. If you have any questions, please e-mail nyuad.academicrecruitment@nyu.edu. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Join NYU Abu Dhabi, an exceptional place for exceptional people.  NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD #nyuadinstructorcareers

Research Fellow to join the Big Data in Health Group About us The Big Data in Health group at the University of Southampton is based in the Primary Care Research Centre. We aim to understand patterns, trends, and associations of diseases to inform preventive action in the UK and international contexts. Our group comprises a diverse, multidisciplinary team conducting high-quality, innovative research that addresses complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, cutting-edge artificial intelligence algorithms, and qualitative research to provide a deeper understanding, insights, and applications.  About the role  In this role, you will join a successful interdisciplinary and mixed-methods team with extensive qualitative and quantitative expertise that conducts research to support people with multiple long-term conditions. The post holder will already be working in the field of multimorbidity. They will have good organisational and administrative skills. They will have excellent writing skills and be able to work independently to draft high-quality academic research papers and convey methodological results of findings through presentations using interactive visualisations.. This position is a unique opportunity to join an experienced, fast-paced and high-output research group, working closely with our supportive team to help deliver School for Primary Care Research (SPCR), National Institute for Health Research (NIHR) and United Kingdom Research and Innovation (UKRI) funded projects in populations with multiple long-term conditions. The post is offered full-time for 6 months and will be available starting in June/July. The salary for this position will be level 4. About you If you believe you meet the requirements for the post, come and join us to take forward this exciting opportunity and become part of an innovative and dynamic research group where you will be valued, included and supported.  You will be educated to postgraduate degree level and must have an established track record of conducting MLTC research, systematic reviews, and qualitative analyses. You will specialise in qualitative methods and have extensive experience in creating search terms, conducting searches across a wide variety of search engines, and conducting narrative synthesis. We welcome applications from researchers with a strong track record in MLTC and at least some knowledge of AI-enabled digital health tools, along with proven experience leading and managing research teams, including supervising staff, mentoring, and professional development. You will be able to work to tight deadlines, manage your time independently, be flexible to accommodate project demands and responsive to requests from line managers and other colleagues. You will possess excellent organisational and inter-personal skills and high professional standards. Applicants for this position will have completed a relevant PhD or will be near completion at the time of the interview.