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. Interest in interdisciplinary research PhD positions: Highly motivated PhD-Student with an excellent Master degree in Computer Science, Informatics or related. Strong background in artificial intelligence
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PhD students or Master students). Requirements (MATHEMATICS position) Doctorate (PhD) in Informatics, Mathematics, or related. Knowledge about harmonic analysis, functional analysis, and/or numerical
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cognitive science and computational neuroscience to solve challenging scientific problems Strong mathematical and analytical skills Very good command of the English language For postdoctoral researchers: PhD
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, Neuroscience, Cognitive Science, Data Science, Linguistics, Computer Science or related fields Expertise in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning
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doctorate (PhD) In-depth knowledge in the field of hydrogen-assisted cracking Knowledge in hydrogen absorption from various media into metallic materials Knowledge in numerical simulation of hydrogen cracking
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: Successfully completed university studies (diploma/master's degree) in the fields of chemistry, physics, archaeometry, materials science or similar with a PhD degree in one of these disciplines Knowledge in
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
networks to create replicating life-like systems. We are looking for an enthusiastic, inquisitive and creative team player with a PhD in biophysics, physical chemistry, chemical biology or biochemistry
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 14 days 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
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- the possibility of further academic qualification (e.g. through a monograph, habilitation or similar) Requirements: - completed BA and MA degree in political sciences and a completed PhD in political science (with
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Computer Science, Electrical Engineering or similar Knowledge in ML/AI Methods, including Algorithm Training, Testing, and Deployment Strong understanding of computer vision principles and techniques. Familiarity