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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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, molecular simulations, and their application to bioprocesses and bioseparations Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling
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Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing
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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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, computer science and earth science/engineering, or a related field Proficiency in at least one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data
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in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and
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, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation