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Field
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, biomedicine, molecular / translational medicine or similar with an excellent academic background. They are open minded, active and have a good command of the English language (oral and written). Salary and
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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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compounds in Brassica vegetables and to understand the role of glucosinolate degradation for drought stress tolerance. Tasks include planning and conducting plant cultivation experiments under controlled
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. • Hands on experience in working with experimental setups (incl. including instrument control e.g. through MATLAB) • Background in the medical diagnostics technology field is a plus. • Business creation and
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well as analytical methods are an advantage Willingness to handle unsealed radioactive materials within a radiation-controlled laboratory environment Knowledge of handling radioactive materials and radiochemical
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | about 1 month ago
Genome Centre at the Max Planck Institute for Plant Breeding Research (MPIPZ) in Cologne. Your responsibilities All aspects of flow cytometry sorter and analyzer operations, including quality control
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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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focus will be on the use and development of automated and innovative design tools. You'll use access to cutting-edge, CMOS-based IC technologies for your research. What you bring to the table You have a
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. Background and position description The research group is heavily involved in the development of the Flora Incognita app for automated plant identification, which has been downloaded over 10 million times by