62 computer-science-intern-"https:" "https:" "https:" positions at Technical University of Munich
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in Germany. Our culture is highly international with over 50
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or other structural biology techniques - Ability to work in an interdisciplinary (combining structural, molecular, cellular and theoretical approaches) and international team of researchers - Fluency in
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, there is a possibility of renewal for a further three years. The Chair for Philosophy and History of Science and Technology comprises a highly interdisciplinary, public-interest-minded, international and
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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• You have a degree (Master’s or equivalent) in Civil Engineering or Mechanical Engineering with a strong focus on continuum-solid mechanics and computational methods. • You have experience in and
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sensing data Presentation of your results on conferences and publications in scientific journals REQUIREMENTS: An above-average degree in mathematics, computer science, information technology, electrical
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Program if you aspire to an academic career. We offer you access to an international research network by presenting your research at leading international conferences and spending a research semester at top
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign