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topics in the field of Social Cognitive Neuroscience, with a focus on empathy, prosocial behaviour, and more recently also environmental social neuroscience,. We investigate these phenomena mainly in
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landfill. We are looking for a passionate researcher who can undertake mechanical design, design and conduct experiments, learn quickly, solve complex problems, develop innovative solutions, and contribute
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Paul Goldberg and will work on the EPSRC-funded project “Driving Behaviour in Multi-winner Voting” within the Algorithms and Complexity Theory research theme. The position is for the two-month period of
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collaborative projects Motivated, proactive, and enthusiastic mindset Our offer We offer a fully funded 2 year post-doc position at Empa to conduct cutting-edge research in an inderdisciplinary field
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, AFM, ellipsometry, or TEM will be considered an asset. The successful candidate should also demonstrate: - strong experimental skills; - the ability to independently design and conduct experiments
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research projects related to end-of-life-care for persons with disabilities and their families. He/She will conduct advanced data analysis and prepare manuscript for the projects. He/She will also be
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on utilizing VR/AR as a medium for behavioral transformation—specifically in high-fidelity motor skill acquisition and the enhancement of social communication. Primary Research Projects The successful candidate
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of Computer Science. The post-holder will report directly to Professor Paul Goldberg and will work on the EPSRC-funded project "Driving Behaviour in Multi-winner Voting" within the Algorithms and Complexity Theory
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 3 months ago
Job Code: 170 Job Offer from June 25, 2026 The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative environment
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involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in