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Position Title: Research Fellow – Organ on a Chip About the Role We are seeking highly motivated and entrepreneurial Innovator Research Fellows to join a multidisciplinary team advancing the frontiers of organ-on-a-chip and AI-driven translational biology. This project focuses on the development...
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, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological studies. Leading
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available in the further tabs (e.g. “Application requirements”). Programme Description The Zukunftskolleg Konnect Fellowships support early career researchers from Africa, Asia and Latin America, who do
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academic program at The University of Melbourne Keen interest in broadening clinical and research experience and knowledge in psychiatry at an external university, hospital, research, or teaching institution
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mapping, data-driven mapping, and context-based programming with traditional (i.e. sketches, surveys) and advanced computer-aided design (CAD) tools. Applicants must have experience with qualitative
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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The post The Faculty wishes to recruit a Postdoctoral Research Fellow to participate in a 3-year research project into shape-morphing electromagnetic metamaterials and devices. This EPSRC funded post is available for start dates between 1st April – 1st July 2026. The successful applicant will be...
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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. · Familiarity with digital technology for assessment, aging, neurodegenerative disease, and/or neuropsychiatric populations. · Experience with computational and statistical approaches for time series