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of different parts in the system, and the integration with other partners in the project. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 days ago
of Interdisciplinary Life Sciences. The Domestication Lab investigates behavioural and cognitive differences and similarities between wolves and dogs to gain insights into the domestication process. The team currently
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Networked Systems Abstractions Lab (LASeR) Mission The EPFL Networked Systems
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hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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selectivity between materials and minimize plasma-induced damage, will be evaluated as part of this study. To achieve this objective, it will be necessary to understand the etching mechanisms of the different
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project seeks
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individual differences in stress vulnerability and resilience with a specific focus on how early life adversity shapes hippocampal and corticolimbic circuit function to influence fear behavior and cognitive
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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong