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of Bachelor and Master theses Your Qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar field Experience in Software Engineering Theoretical knowledge or practical
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integration 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
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programme at the TUM School of Social Sciences and Technology. Full-Time Commitment: The position requires full-time commitment with a physical presence at the recruiting institution. Teleworking is not
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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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Qualifications • 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
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good knowledge of English and German • Experiences with Research Data Management is an asset • Pronounced scientific and writing skills are a benefit, particularly in science communication The position
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
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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