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in high-quality peer-reviewed journals Qualification profile: PhD in biology, biochemistry, molecular medicine, or a related field Strong track record of publications in peer-reviewed journals Solid
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
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study the degradation/evolution of the sensor chemistries under operating conditions. Qualified applicants must have: • A master's degree/PhD in chemistry, chemical engineering, materials science, or
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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focus on power electronics and control technology as well as a subsequent PhD in a related field, ideally involving system modelling and/or power electronic systems Proven experience in modelling and
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09.07.2025 Application deadline: 01.09.2025 The University of Tübingen invites applications for four Postdoctoral Researcher positions (m/w/d, E13 TV-L, 100%) within the ERC-funded Synergy Project
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Ecology and Technology group is carrying out work on the impact of manganese nodule mining on deep-sea benthic communities and their functions. The Research focuses on industrial tests of the manganese
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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completed university degree and a completed PhD in linguistics (or a related social science relevant to the topic of the project) Very good knowledge of conversation analysis, interactional linguistics, and