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PhD or postdoctoral researcher positions (all genders welcome) Stellen-ID: 2848 Facility: Institute of Computer Science Contact person: Prof. Dr. Alexander Ecker eckerlab@ uni-goettingen.de 0551
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS. With our expertise in the development
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, microscopy and computer tomography. The scientific work focuses on the use of renewable and recycled raw materials in high-performance FRP and the tracking of FRP cycles. Scientific work on research projects
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software development and supervise team members. YOUR EXPERIENCE AND AMBITIONS We welcome candidates with a PhD in computational physics, chemistry or materials science who are curious about applied machine
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machine learning / AI, we also welcome applications from candidates with a focus on computational physics. The applicants should have a Master's degree or equivalent in Physics, Chemistry, or
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engineering, computer engineering or a related field. Knowledge in the area of mobile manipulation and control of autonomous vehicles. Hands-on experience with developing autonomous and mobile robotic systems
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computational stream ecosystem science. The project aims at developing and applying a spatially explicit model on litter dynamics considering the processes of litter supply, retention and decomposition in tandem
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program (incl. benefit from skill training courses) in-house language courses in German and English Women are particularly encouraged to apply. Applications from severely disabled persons with equal
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management Communication with project partners Organizational tasks Your profile: First law degree or LL.M Willingness for interdisciplinary cooperation with experts from the field of computer science
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 2 hours ago
the evolution of numeral systems Selection criteria A PhD in linguistics, cognitive science, evolutionary biology, computer science, statistics, anthropology, or related field with an outstanding academic record