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, immersive technologies, digital humanities and computational methods. Research Themes Projects should demonstrate how innovative methodologies can generate new knowledge within art history. Relevant topics
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collaborative research environment. · Perform other related duties as required. Minimum Qualifications: Successful applicants will have: · A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems
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potential for successful adoption of AI research methodologies Hold a PhD degree in a natural sciences or engineering (NSE) discipline (includes computer science and mathematics). Secure a supervisor (and co
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will work with Rita Pucci (computer scientist) and Luna van der Loos (seaweed biologist and taxonomist). You will also be part of our PhD and postdoc community — a close-knit group of around 50 PhD
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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for purposes of collective bargaining and matters affecting your compensation and working conditions. Basic Qualifications PhD in Computational Biology, Bioinformatics, Machine Learning, Data Science, or a
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
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. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found
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PhD in Neuroscience, Computer Science, or a related discipline, preferably with expertise in computational and wet-lab neuroscience. The post is available for 36 months starting December 1st, 2026
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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration