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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
adaptation. Your tasks We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the opportunity to develop and lead their own
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; Analytical interest in and understanding of political and scientific debates in connection with climate change and global sustainability and related political processes and bodies. Hands-on experience with
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culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization." Your tasks Install, administer, and troubleshoot Linux servers and applications
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months ago
on artificial intelligence (AI), including machine learning, computer vision, and robotics. For this global organization that is pushing the boundaries of AI with cutting-edge high-performance computing, we
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, including any additional documents required, well in advance of the desired selection date. Applications are usually processed within four to seven months. Incomplete or inaccurate applications take longer
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to enhance the understanding of the soil-root system Find links between non-invasive geophysical monitoring and the availability of Nitrate and water in the soil Improve the small-scale process understanding
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experiment operation in 2028. Emphasis has to be put on the application of the software in real-time, making use of massive parallelism on CPU and/or on GPU. Your profile: From the applicant, we expect a
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completed application form, including any additional documents required, well in advance of the desired selection date. Applications are usually processed within four to seven months. Incomplete or inaccurate
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computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems). Innovating and improving teaching through new formats and
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C