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well as space logistics architectures. Your main Responsibilities Perform original and excellence-driven research: Develop and analyze high-fidelity dynamic models Conceptualize & develop advanced visualization
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
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/ family enterprise. The postdoc position (m/f/x) is limited to 24 months but can be extended for another 24 months (extension is subject to a positive performance evaluation). About us… Founded in 2002, TUM
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and develop sample scenarios, roadmaps and trade-off analyses Develop software code and execute computational simulation Contribute to the design and development of an advanced test facility
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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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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
/transnational community of practices (COPs), co-creating an “agents of change” program, and facilitating cultural literacies across borders through a dynamic pedagogical intervention. Qualifications We seek
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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program, LeAD brings together experts from several disciplines, forming a consortium of eight beneficiaries and five associated partners (including three from industries). Through both local and network
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional