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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities R-loops
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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to obtain your own academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics
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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry