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new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design
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of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the Massachusetts Institute
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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leave plans Onsite childcare (Ames, Iowa) Life insurance and long-term disability Flexible Spending Accounts Various voluntary benefits and discounts Employee Assistance Program Wellbeing program Iowa
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Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28642 PhD/Postdoc – Computational Biology & Multi-Omics (m/f/d) Stellenanzeige merken
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
chemistry methods applicable to biomolecular systems, which are then applied to computer-aided drug design. We are looking for a talented postdoctoral fellow to join our team and work on the development
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between