Kunming Medical University

The Role: Teaching Fellowship in Music Psychology We seek to appoint a talented individual to the role of Teaching Fellow in Music Psychology, tenable from 1 September 2026. You will contribute to high-quality teaching and curriculum development at undergraduate and postgraduate levels, including the Department's ongoing efforts to address challenges relating to gender equality, race and decolonisation. You will very likely be required to teach the UG Level 2 module "Music and Science" ( ), contribute seminars about Music Psychology within our newly formulated MA module ("Research in Music"), and provide one-to-one supervision of dissertations at both undergraduate and MA level. This post offers an exciting opportunity to make a major contribution to the development of internationally excellent teaching while allowing you unrivalled opportunities for career progression and professional development. The University provides a working and teaching environment that is inclusive and welcoming and where everyone is treated fairly with dignity and respect. You will be expected to demonstrate your commitment to these key principles as part of the assessment process. The Department actively promotes the values of equality, diversity and inclusion, and in joining us, you would contribute to ongoing initiatives and conversations to further these principles. Applications are particularly welcome from groups who are under-represented in academic posts. We are committed to equality: if for any reason you have taken a career break or periods of leave that may have impacted on your career path, you may wish to disclose this in your application and the selection committee will take it into account. The post is for a fixed term only, and it is not anticipated that it will be extended beyond this fixed term. Key Responsibilities Teach modules in appropriate learning environments at undergraduate/postgraduate levels, demonstrating an increasing awareness of different approaches to and methods of teaching and supporting student learning; Demonstrate the ability to manage own teaching and designing, planning and writing teaching materials; Lead some aspects of modules and contribute to modules led by others by collaborating with colleagues on course development; Develop and deliver an inclusive curriculum and make an active contribution to an inclusive community in which diversity is embraced and celebrated; Seek and take on board feedback on teaching and engage with others in CPD; Supervise undergraduate student(s), and where appropriate act as part of a PhD supervisory team; Contribute to educational skill of colleagues, e.g. giving a seminar to colleagues or engaging in constructive discussion about a seminar; Build internal contacts and participate in networks to exchange information; Start to engage in scholarship (the creation, development and maintenance of the intellectual infrastructure of subjects and disciplines) e.g. develop online teaching resources; In addition to Board of Studies, membership of some departmental committees and professional body memberships; Student support, assessment of academic performance and provision of feedback, dealing with student disciplinary matters and complaints; Undertake effectively and efficiently any administrative role allocated by your Head of Department. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect. To engage in wider citizenship to support the department and wider discipline. To engage in continuing professional development by attending relevant training and development courses.

Part Time 6 month fixed term opportunity for a Research Assistant Join a high-performing, multidisciplinary Computational Neuroimaging team dedicated to the ongoing development of novel imaging biomarkers for Multiple Sclerosis Base Salary HE04 $83,038 or HE05 $89,755 + 17% superannuation, based on experience About the opportunity Multiple Sclerosis (MS) affects more than 2.9 million people worldwide and is the leading non-traumatic cause of neurological disability in young adults. In Multiple Sclerosis, not all white-matter lesions are equal - some contribute disproportionately to long-term disability while others remain clinically silent. We hypothesis that a subset of MS lesions, jointly characterised by their degree of axonal loss and anatomical location, can substantially improve prediction of clinical progression. The project is aiming to develop a novel lesion classification framework that using routinely acquired clinical MRI. You will join a high-performing, multidisciplinary Computational Neuroimaging team dedicated to the ongoing development of novel imaging biomarkers for Multiple Sclerosis, bridging the gap between advanced computational methods and real-world clinical impact. The team operates in a leading-edge environment that sits at the intersection of medical imaging, data science, and clinical neurology. We are committed to the clinical translation of imaging metrics, with a specific focus on improving the lives of individuals with Multiple Sclerosis (MS). You will be joining our multidisciplinary team, contribute to the ongoing development of novel imaging biomarkers for multiple sclerosis. Your key responsibilities will be to: neuroimaging Pipeline Management: implement and maintain automated MRI preprocessing and analysis pipelines for large-scale, multi-site clinical datasets. advanced Lesion Analysis: Implement lesion segmentation and characterisation techniques using structural, diffusion, and quantitative MRI. data Management: Oversee the curation and quality control of the training and validation dataset machine Learning Development (HEO5): implement model training to classify lesion severity and map anatomical connectivity. Build and validate predictive models to establish the relationship between imaging metrics and longitudinal clinical disability. About you Essential: academic Qualifications: Bachelor's in biomedical engineering, Computer Science, Medical Image Analysis, Applied Statistics, or a related quantitative discipline. (Current enrolled HDR students are also encouraged to apply) imaging Expertise: Demonstrated experience in MRI quantitative analysis, experience with structural diffusion-weighted (dMRI) is preferable (HEO5) software Proficiency: Expert command of industry-standard neuroimaging toolkits (e.g., FSL, FreeSurfer, ANTs, MRtrix3) data Handling: Proven ability to manage, curate, and perform quality control on large-scale, multi-site neuroimaging datasets programming Proficiency: Proficiency in Python, including the ability to automate pipelines and manage version control (Git) and data science libraries scientific Communication: Demonstrated ability to draft high-quality technical reports and manuscripts for peer-reviewed journals problem Solving: A proactive approach to troubleshooting complex computational pipelines and data inconsistencies collaborative Mindset: Experience working within multidisciplinary teams, specifically the ability to communicate technical concepts to non-technical clinical stakeholders (Neurologists/Radiologists) time Management: Ability to work independently and meet project milestones within a fast-paced research environment. Desirable: deep Learning: Experience with frameworks such as PyTorch or TensorFlow applied to medical image analysis AI Analytic Foundations (HEO5): Solid understanding of machine learning principles and high-level statistical modelling for predictive analytics. Translational Interest: A genuine interest in clinical biomarker validation and the desire to see research outputs impact patient care. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a university community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Danielle Selinger Recruitment Consultant by email to danielle.selinger@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Thursday 25 June 2026 11:59 PM

Department: Department of Anthropology – Faculty of Science Deadline: 30 Jun 2026 Start date: 01.09.2026 or negotiable Job type: full-time Job field: Project management, grants | Science and research | Education and schooling Dean of the Faculty of Science, Masaryk University announces an open competition for the position Biological/Physical Anthropologist (Assistant Professor) Workplace: Department of anthropology, Faculty of Science, Masaryk University, Czech Republic Type of Contract: temporary position with 3-year contract (with possible extension), academic Working Hours: 1 FTE (full-time employment of 40 hours per week) Expected Start Date: 1. 9. 2026 or negotiable with respect to immigration timelines for non EU candidates Number of Open Positions: 1 Pay: negotiable Application Deadline: 30. 6. 2026 EU Researcher Profile: R2 About the Workplace Masaryk University is modern, dynamic and the most attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of Anthropology at the Faculty of Science MU is an academic, research- and education-oriented institution which focuses on the study of interactions between biological, social and cultural aspects of humankind. We are a modern institution oriented on current trends in education, offering Bachelor’s, Master’s and Ph.D. degrees, consistently with more than a hundred of students in the undergraduate programs and currently with six students in the Ph.D. program. From the very beginning, students are offered intensive training in topics of biological and socio-cultural anthropology. They are encouraged to participate in department’s research projects which contributes crucially to their success in the job market after graduation. The research activities are anchored in the tradition embodying the biological and the behavioral aspect of mankind. Many of our top-tier research projects aim to apply scientific knowledge in practice – emphasis is given on developing methods for the fields of forensic anthropology or on multi-disciplinary collaboration projects which address nutritional status or modelling of human growth and development in childhood and adolescence. The department’s labs are equipped with cutting-edge technologies for 3D data acquisition of human body morphology and advanced biological data processing. In addition, advanced evaluation of nutritional status and other somatic characteristics as well as assessment of prehistorical and historical skeletal remains is conducted in our facilities utilizing state-of-the-art equipment. Currently, the Department of Anthropology includes cca 20 faculty members and researchers who are involved in teaching, conducting research and promoting science. For more information, please visit its website at https://www.muni.cz/en/about-us/organizational-structure/faculty-of-science/314070-deptof-anthropology. Job Description: The candidate for the position is expected to carry out pedagogical and creative tasks (scientific, research & development, innovative and others) in accordance with mission of the Faculty, activities of the department and ongoing research projects. He or she is expected to be involved in teaching and development of study programmes, research & development, promoting of science & dissemination of research results, and to participate in academic authorities and other bodies. He or she is also expected to carry out additional administrative and operational activities related to the type of work and departmental duties, as per instructions of the direct superior. Key Duties: To teach current courses (introductory to specialty for the undergraduate and graduate program. To conduct research falling under or closely related to evolutionary oriented physical/biological anthropology. To advise/mentor students, to participate in academic and program-related committees, and to participate in traditional academic functions. To seek external funding for his/her own research activities in the field of skeletal anthropology/bioarcheology, preferably including field surveys and excavations. Skills and Qualifications: The applicant must have: Degree (Master's and Ph.D. degrees or equivalent degrees) in Anthropology or other closely related field from an accredited institution. Knowledge and understanding of theories, concepts and approaches relevant to the field of physical/biological anthropology. Conceptual analytical and evaluative skills to conduct independent research and analysis in the field of physical/biological anthropology. Excellent communication and didactic skills. Teaching experience and the ability to design and develop innovations in education. Scholarly achievement which may include peer-reviewed and other publications (books, monographs, applied research reports). Experience with extramural grants and contracts, grant proposal design, project management. Evidence of quality instruction, curriculum design, and supervision of student projects where appropriate. Evidence of service relevant to the university, academic profession, and/or community.  Good communication skills, fluency in English (spoken and written) is required. The knowledge/understanding of Czech language is preferred but not excluding. The applicant should have: at least 5 years of combined professional experience both at national and/or international level, as a physical or biological anthropologist, experience in or on academic circles. Informal inquiries about the position can be sent to Mgr. Tomáš Mořkovský email: morkovky@sci.muni.cz, phone +420 549 494 157. We Offer: An interesting job in a dynamically-expanding university area. Flexible working hours and occasional home office to support personal needs in family and career compatibility. Employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí). Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo). Welcome Office provides support with your relocation to Brno. Application Process: The application shall be submitted online by 30. 6. 2026 via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide following: CV. Cover letter describing candidate's research interest and experience. Summary of research outputs and publications. Names and contact details of at least 2 references. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process: Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!