53 postdoc-computational-fluid-dynamics PhD positions at Technical University of Munich
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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
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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through resonant excitation of specific bonds. It will revolutionize the field of biopolymer processing beyond cellulose and yield fundamental insights into supramolecular structure and dynamics in
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the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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24.02.2020, Wissenschaftliches Personal The research group “Fluid Dynamics of Complex Biosystems” headed by Prof. Dr. Natalie Germann has an open PhD position in the field of experimental rheology
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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, physics or related fields • Very good and fundamental knowledge in the areas of fluid mechanics and aero-thermal turbomachinery • High fascination for technical/scientific problems of numerical and