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extraction, qPCR, cloning etc.), biochemistry (eg, metabolomics using LC-MS, extraction and purification of plant metabolites), bioinformatics (amplicon sequencing/metagenomics). Strong interest in tree
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use in agriculture. Your profile: Diploma or Master’s degree in agricultural sciences, biology, biochemistry, bioinformatics or closely related field Very good English language skills (written and
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an interest in systems biology approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in the position of this project, please
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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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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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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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to psychological and clinical measures and outcomes, epidemiology, statistics, and bioinformatics. Work in an environment of scientific excellence and interdisciplinary collaboration IMPRS-TP is a joint initiative
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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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
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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