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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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15.06.2020, Wissenschaftliches Personal The 3D Understanding Group at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer
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investigates the interaction between natural (solar/volcanic) and anthropogenic climate forcings in their impact on climate variability and climate extremes, including potential changes in a future hothouse
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affecting the coastal realm. The project SOLVe investigates the interaction between natural (solar/volcanic) and anthropogenic climate forcings in their impact on climate variability and climate extremes
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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on the main topic of the project and for designing and conducting empirical studies, including survey experiments. Additional responsibilities include: authoring scientific publications in relevant peer
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, with the ability to effectively interact with a broad scientific audience Willingness to contribute to grant writing, project proposals, and to represent the team at scientific meetings and conferences
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in additional advisors