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Field
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companies. Writing well-documented, reproducible code and contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a
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clinical decision making. Required knowledge Python programming Machine learning and deep learning fundamentals Large Language Models (LLMs) and Generative AI Multi-agent AI or AI reasoning
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Qualifications BS in computational biology, computer science, or related field. Additional Qualifications Interested in molecular biology and genetics Proficiency in Python and software development. If visa
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Qualifications BS in computational biology, computer science, or related field. Additional Qualifications Interested in molecular biology and genetics Proficiency in Python and software development. If visa
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simulations software such as COMSOL or CST. Characterize samples in the lab. Model experimental data from first principles using Matlab/Python codes. Write scientific publications, file patents, disseminate
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loading, and failure/damage modelling. Familiarity with drone dynamics or aerospace impact studies would be advantageous. Scripting ability (e.g., Python) for simulation automation, post-processing, or
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. Applicants should have demonstrable programming or scripting experience and the ability to develop and evaluate working software prototypes. Python is essential, and Houdini’s VEX is also relevant to the
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-level defence missions into executable, EW-resilient tasks Optimize algorithms for embedded deployment (ROS II, Python/C++) on the AGV's onboard computers, balancing computational efficiency and
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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programming languages and frameworks such as Python, PyTorch, or TensorFlow is an advantage Fulfillment of the formal admission requirements for doctoral studies at the University of St. Gallen