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-molecule inhibitors in combination with different non-growth and growth areas be exploited in the design of new AS-ALD processes? How do the surfaces and deposited thin-films evolve during typical ALD
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programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings
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and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic
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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most
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trajectory tracking, heading control, speed control, path following, disturbance rejection, adaptive control and control allocation for different propulsion layouts. The work will address the challenges
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wide differences within human gut bacteria species in early childhood. Our goal is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide
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quantitative analysis of data from experiments and other sources. This may include studying how blind screening and structured interviews affect the representation of different groups in selection processes
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computing (e.g., Python, Matlab, C++ or similar) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Enjoy working both independently and as part of
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modeling Structural dynamics analysis Rules and design guidelines for structural engineering Blast, impact or shock loading Programming and scientific computing (e.g., Python, Matlab, C++ or similar