Mudanjiang Normal University

USAIS – Upgrade Pathway Coordinator Join the University of Southampton Auditory Implant Service (USAIS) as an Upgrade Pathway Coordinator and make a meaningful impact on the lives of cochlear implant and auditory implant patients. We provide vital services for severely and profoundly deaf individuals across the south of England and the Channel Islands.  USAIS is a nationally recognised centre of excellence, providing specialist assessment, surgical intervention, and lifelong support for individuals with auditory implants. Our team is passionate about enhancing quality of life through cutting-edge technology and holistic care.  About the role: Location: University of Southampton Highfield Campus, Building 19  Working hours: Monday to Friday 9am-5pm  Job Purpose: To work with the Clinic Operational and Assistant Manager, Team Leaders and clinical staff, to ensure effective management of University of Southampton Auditory Implant Service (USAIS) patients through the Cochlear Implant (CI) & Bone Conduction Hearing Implant (BCHI) Upgrade Pathway What you will do: Manage and coordinate the purchase of newly implanted CI & BCHI patients processor technology Be responsible for ensuring every 5 years, patients progress through the upgrade pathway to replace their processor equipment with the latest technology Liaise with Clinical Team Leaders to manage and prioritise a high-volume caseload of upgrade patients, ensuring appropriate sequencing in line with clinical requirements, patient readiness, equipment availability, and service capacity  Ensure accurate and timely ordering of equipment through NHS Supply Chain (NHSSC), to align with patient upgrade due dates, monitor and track order status & delivery dates Goods receipt, unpack and prepare the processor kit and accessories for the patient appointment What you will bring: Relevant work experience within an administrative or customer support role, preferably in a healthcare setting or clinical environment – including NHSSC and Patient Administration System (PAS) Strong communication skills are essential, with a proven ability to prioritise and manage a busy workload  Excellent attention to detail, record keeping skills and maintenance of confidentiality for all data & patient information Strong teamwork skills and the ability to build positive working relationships  Ability to thrive and support colleagues in a busy, noisy working environment Special requirements: The maintenance of confidentiality in information and data management is mandatory & ability to cross-check data from multiple sources, with excellent attention to detail and accuracy  Working at UoS: We value equality, diversity, and inclusion, ensuring a supportive and inclusive environment  Enjoy a generous holiday allowance and additional university closure days  We support flexible working arrangements.  For more information about USAIS, visit our website. Informal Enquiries: Contact Cath Grimer 02380 593522 or c.grimer@soton.ac.uk Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton. *An standard DBS check is required for this role.

Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Off Campus Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered Contract type: Permanent Salary: Full time starting salary is normally in the range of £48,760 to £58,664 per annum with potential progression to £71,050 per annum Apply by: 31/07/2026 Role Description COTEC is an outstation of Cranfield Defence and Security within the Faculty of Engineering and Applied Sciences and is located on Salisbury Plain south of Devizes. The site is leased from the MOD and all range operations are carried out under the authority of Defence Training Estates Salisbury Plain DTE(SP). The site carries out a large range of tasks primarily based around the testing and evaluation of explosives, ordnance and munitions for defence and commercial customers. The site also carries out research and supports the research projects of Cranfield University students. About the Role As a Senior Trials Conducting Officer (STCO) you will lead the planning, delivery and reporting of complex explosives, ordnance and munitions trials for defence and commercial customers. You will be responsible for ensuring trials are conducted safely, efficiently and in accordance with regulatory and COTEC procedures, while producing high-quality technical reports and delivering effective customer solutions. As a senior technical specialist, you will provide guidance to colleagues, deputise for the Operations Manager when required, contribute to training activities, and support quality and business development initiatives. This role requires strong technical expertise, excellent organisational and communication skills, and the ability to manage complex projects and adapt to changing operational requirements. About You You will have a recognised military qualification in ammunition and explosives, or equivalent relevant technical experience, with significant demonstrable experience in the firing, testing and evaluation of explosives, ordnance and munitions across a range of environments. You will have proven experience of managing and supervising technical activities, analysing trial data and producing detailed technical reports. You will have an in-depth understanding of ammunition systems, range procedures and health and safety requirements, with the ability to operate effectively in a safety-critical environment. You will demonstrate strong communication, organisational and problem-solving skills, with the confidence to lead complex trials, manage competing requirements and work collaboratively with customers, colleagues and stakeholders. A degree in a relevant science subject, membership of a relevant professional body, and experience working with instrumentation, research facilities or industrial partners would be desirable. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. As part of our commitment to support and develop Technical staff across the University, we are a founding signatory of the Science Council's Technician Commitment. Find out more here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply For an informal discussion about this opportunity, please contact Geoff Bunn, Operations Manager COTEC, at geoff.bunn@cranfield.ac.uk. 

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhab 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 research 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 research 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. 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. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. 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