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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical
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). Strong organizational skills are required in order to plan and conduct fieldwork in two countries (UK and Singapore). Familiarity with ecological rationality framework is a plus. As the postdoctoral
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-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C
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questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG. The project’s overarching goal is the
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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(typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants holding a PhD or who are eligible to be a junior professor in the historical humanities are invited to apply