58 computer-science-intern "https:" "https:" "https:" "https:" positions at Technical University of Munich in Germany
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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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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
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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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. Contact Prof. Holger Boche, Technical University of Munich, School of Computation, Information and Technology, Chair of Theoretical Information Technology, Theresienstrasse 90, 80333 Munich. https
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(also verified by automated theorem proving) etc. - AUTOMATA TUTOR (available at [1], described in publication [2]) is a tool to teach undergraduate students the basics of theoretical computer science. It
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth sciences
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good