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. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 07/06/2026 Post Doc https
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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addition to using experimental wet-lab tools, we also develop software tools to identify novel hormones and receptors by running AI models (e.g. AlphaFold) on large-scale at high performance data centers
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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and machine-learning potentials for planetary materials. Curating and generating large-scale ab initio datasets across wide pressureâ“temperature regimes. Designing and training advanced machine
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the hospitals for the design of the heart failure care pathway. Where to apply Website https://www.academictransfer.com/en/jobs/362171/postdoc-data-interaction-for-re… Requirements Specific Requirements PhD in
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-based systems. More information on Dr. Siby’s research is available at https://sandrasiby.github.io/ . The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate
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focusing on securing the software, we target principled security mechanisms that provide robust protection against large classes of attacks. Modern software applications are almost never built from scratch
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. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related field; A strong publication record in
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scattering (SANS/SAXS) Participation in experiments at large facilities (e.g. MAX IV, ESS, ISIS etc.) Processing and interpreting SANS/SAXS data both within the project and other projects in the research group