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, air quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 21 hours ago
conversion. Your profile PhD in electrochemistry, catalysis, surface science, physical chemistry, or a related field Excellent documented research record Experience working with flow cells, FTIR, as
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 2 days ago
Behavioral Ecology Research Group ” is an international research group led by Prof. Dr. Barbara Fruth. At the moment, our group consists of two senior researchers, one postdoc, three PhD students, several
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. Work on other ATLAS physics topics may also be considered depending on the candidate’s expertise. A PhD in particle physics and substantial experience in data analysis are required. Additional valuable
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using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction
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scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged
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applications for the position of a Research Assistant (PhD Candidate / Postdoctoral Researcher (m/f/d). (Pay grade TV-L E13, 100%; relevant professional experience is recognized in accordance with TV-L
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Veterinary Medicine, Biology, Biotechnology, or a related life sciences discipline. Completed doctoral degree (PhD, Dr. med. vet., Dr. rer. nat., or equivalent) in a relevant field. (Professional) Experience
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, especially segmentation and quantitative extraction Your profile PhD in computer science, physics, materials science, applied mathematics or a related field experience in building LLM-based agent systems
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on the applications of logical zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Learn