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28 Aug 2025 Job Information Organisation/Company Technische Universität München Department TUM Campus Straubing for Biotechnology and Sustainability Research Field Chemistry » Biochemistry
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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degree in physics, (physical) chemistry, or material science. Knowledge in the operation of ultrahigh vacuum equipment and using X-ray spectroscopies is mandatory. Background in photovoltaic materials
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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and challenging educational portfolio from pure mathematics to applications in the life sciences. Lecture courses and seminars at a high academic level, guest lecturers from all over the world, summer
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep