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from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic target investigations in biliary atresia. We are looking for a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning
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SciencesCountryPolandState/ProvinceMałopolskaCityKrakówPostal Code30-387StreetGronostajowa 7Geofield Contact State/Province Małopolska City Kraków Website https://wb.uj.edu.pl/ Street Gronostajowa 7 Postal Code 30-387 E-Mail
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Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
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Stage Researcher (R1) Positions PhD Positions Country Czech Republic Application Deadline 31 Jan 2026 - 23:59 (Europe/Prague) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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/career-at-cens/ https://www.cens.de Contact LMU München Center for NanoScience Address StreetGeschwister-Scholl-Platz 1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni