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Description Scope of duties (full-time, on-site post-doctoral position): a. Synthesis of metallic nanostructures (both bare and surface-functionalized), b. Optimization of materials intended for the fabrication
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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Drug Discovery Neurobiologist (Research Associate) The ALBORADA Drug Discovery Institute (ADDI), part of the University of Cambridge Department of Clinical Neuroscience (http://cambridge
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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workflows and support reproducible research (model evaluation/validation, transparent assumptions). Your profile PhD in economics, environmental science or a closely related quantitative field (e.g., climate
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Anaerobic Digestion (AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key
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, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes that indicate bioprocess
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-Watt University. A PhD degree in geophysics, geosciences or a similar discipline is required at the time of the appointment. Date of expected start of employment: 01.05.2026 Term of employment: two years
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
opportunities for interdisciplinary collaboration, publications, conference presentations, and participation in lab meetings and mentorship. The full job description is available, here: https://docs.google.com
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-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In