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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
at the University of Münster invites applications for two fully funded PhD positions in computational modelling of biological and functional material. The two projects address complementary questions in biological
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Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 22 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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of "America's Best-In-State Employers" for 2025. Location Statesboro Campus - Statesboro, GA Department Information Computer Science Job Summary The Student Assistant will support the Department
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computational physics. Starting date of the position is March 1st 2027. The successful candidate will join the project "From turbulent flows to quantum fields and gravity: energy-momentum transport via symmetry
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our research program, see https://meyer-lab-cshl.github.io/ Position Responsibilities The successful candidate will study tolerance induction and generation of diversity in the immune system as part of
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hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in Computer Science or related quantitative discipline, with ten (10) years of relevant
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in
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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in