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, bioinformatics or relevant biological sciences is required. Proficiency in full-stack web development is required, including Linux, JavaScript, Node.js, R, Python, Rust, SQL and AI, along with knowledge in
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or LiDAR data strong programming and data analysis skills (e.g., R, Python) proven ability to work independently in diverse, interdisciplinary teams scientific publishing experience is desirable a German
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programming (e.g. Python, Julia), simulation methods (e.g. molecular dynamics) and modern machine learning methods. What we offer: In the Maurer group, we aim to develop computational simulation methodology
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should have experience with programming (e.g. Python, Julia) and simulation methods (e.g. molecular and quantum dynamics. What we offer: In the Maurer group, we aim to develop computational simulation
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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
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, clustering, classification • deep learning, variational auto-encoding, back-propagation • excellent knowledge of R and Python. The knowledge of C++ would be a plus. Application: Application files should
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
to clinical applications. ➢ A good knowledge of Python, TensorFlow, PyTorch environments, and segmentation software such as 3D Slicer is expected. ➢ Skills in knee anatomy, CT imaging, as well as an interest in
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Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) preferred, Knowledge and Skills : Expertise in Python with libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, Keras, spaCy
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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should be proficient in Python, PyTorch or Scikit-learn. The candidate should also be endowed with a strong passion for multidisciplinary studies and all aspects of research ranging from fundamental work