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: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an
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(independently and in our team) involvement in teaching across different life science study programs at the Faculty of Medicine Required skills: Ph.D. (or comparable) in Bioinformatics, Computational Biology
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program. Technical queries should be directed to Benedikt Jahnel (benedikt.jahnel@wias-berlin.de ) or Lukas Lüchtrath (lukas.luechtrath@wias-berlin.de ). The working hours are 29,25 hours per week and the
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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 2 hours ago
Max Planck Institute for Mathematics in the Sciences Position ID: 1667 -CLUSTER [#26728] Position Title: Position Type: Postdoctoral Position Location: Leipzig, Saxony 04103, Germany [map
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No Joint degree / double degree programme No Description/content The PhD programme in Computer Science (PCS) at the University of Göttingen is a high-quality PhD education programme offered by
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collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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diploma or master’s degree specializing in Automation Engineering, Computer Engineering, Control Engineering, or Electrical Engineering. You already have knowledge in the field of automation engineering
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort