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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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. They will join a team of graduate and undergraduate researchers and have opportunities to collaborate on numerous research projects focused on the impact of ultra-processed foods on mental health and well
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numerical simulations will also be required to evaluate them. The scientific results will be published as articles in proceedings of high-level international conferences (IEEE Globecom, ICC, SPAWC, etc.) and
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at the Chinese Academy of Sciences (ITP-CAS) (https://english.itp.cas.cn ) is calling for application for a few postdoctoral fellow positions in 2026. Research areas include but not limited to: 1) Theoretical
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to Apply (4) Resume Cover Letter Copy of Required Certification (Current California General Electrician certification with the State of California, Department of Industrial Relations) Copy of Valid Driver's
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Conduct comparative benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
-discipline to carry out research independently # Willingness to work on numerical and experimental tasks # Programming skills (e.g., Matlab, SIMULINK, Python) or other common process simulators # Excellent
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encompassed by section 6 and 7 for tender admission, namely: Copy of certificate or diploma*; Curriculum vitae. *- The administrative verification of the recognition of the degrees obtained abroad will be
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working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work