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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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, health economics, or related quantitative field Strong quantitative and programming skills (preferably R, NetLogo, or similar) Experience in infectious disease modelling, microsimulation, diagnostic
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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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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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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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). 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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(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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% 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