835 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Max-Planck-Institutes" positions in Germany
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hierarchy The latest technology in an exciting research environment We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality
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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. Essential
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available in the further tabs (e.g. “Application requirements”). Objective This program gives North American, British and Irish students and PhD students in the fields of science and engineering and computer
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detection and precision prevention in the role of a division head at the DKFZ. The program is expected to build on prostate cancer as a model disease with later expansion to other common tumor entities, e.g
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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Master’s degree in physics, chemistry, materials science, chemical engineering, or a related field who are excited about applying machine learning and data science to real-world materials challenges
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evaluate the measurement results. You support the preparation and editing of project reports and presentations. What you contribute You are enrolled in a natural or engineering science degree programme, or a
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) based on Artificial Intelligence (AI) What you contribute You are a student in communications/electrical engineering, computer science, or similar fields at a German university Good understanding of 5G
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. Your Profile: The successful applicant must have the following: • M.Sc. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a related discipline
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing