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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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energy footprint. What you will do Research various algorithms suitable for energy aware scheduling Develop a custom algorithm for energy awareness scheduling Perform experiments and evaluate performance
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flying start with us, too. Here at IWES, we operate on an international level – a good command of German and English will make your day-to-day work easier. What you can expect How would you like to develop
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of performance and accuracy. What you bring to the table What is your background? Are you currently enrolled in a master's degree program studying Electrical Engineering, Control Engineering, Mathematics, or a
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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operating conditions Design and implement optimization algorithms to improve the performance of the engine, battery, fuel cell, transmission, and hydraulic systems, considering constraints such as component
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Professorship - Programme Information (PDF, 123 KB) Recently selected Humboldt Professors Our Alexander von Humboldt Professors for AI WANTED: Alexander von Humboldt Professors (female) The Alexander von Humboldt
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position (100% TVL-E 13, fixed-term contract) An exciting and supportive work environment in a young, dynamic team at the leading German university in Computer Science Opportunity to travel to prestigious
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future. These EMS coordinate distributed renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
encoded self-assembling nanostructures that can be visualized by high-throughput EM of serial brain sections. In this way, we can directly overlay molecular information about, e.g., synaptic plasticity onto