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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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ability to comfortable processing these data using tools like Seurat, Scanpy, or QuPath. Proficiency in Python or R, coupled with familiarity with machinelearning frameworks (e.g., scikit‑learn, PyTorch
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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good understanding of all the main steps in crystallography-based structure solution is important Good programming knowledge, particularly in Python and/or C/C++ Ability to cooperate and work in a team
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like Python or C/C++ Familiarity with networking and security protocols is a plus You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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management skills using statistical software (e.g., SAS, R or Python) Experience in writing and publishing scientific articles in epidemiology, psychiatry, or related topics Good communication skills in
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++, ROS, Matlab, Python etc.). You should have a strong vision to participate in developing research findings proposals. You will need to represent the group, both in Sweden and abroad and hence have
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including