188 parallel-and-distributed-computing-phd-"Multiple" positions at Technical University of Munich
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of 5h / week during the teaching term (flexible topics) Requirements: • Master’s / PhD degree in climate, environmental, or Earth sciences • Experience in the management of scientific projects
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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to an internationally competitive PhD degree and internationally peer-reviewed publications. The position will include significant involvement in selected nationally and internationally funded projects, such as various
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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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control and strong interest to further develop their skills. The selected applicants are expected to have: • Masters or PhD-level degree in Robotics, Mechatronics, Computer Science or closely related fields
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and participate in collaborative projects with scientists on and off campus, train and supervise technical staff and participate in educational activities. Requirements: PhD in a related discipline and
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning