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available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic
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of TechnologyCountryEstoniaCityTallinnPostal Code19086StreetEhitajate tee 5Geofield Contact City Tallinn Website https://taltech.ee/en/phd-admission Street Ehitajate tee 5 Postal Code 19086 E-Mail hadi.raja@taltech.ee STATUS: EXPIRED X
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI
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Reference Number AE2025-0420 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0420.pdf CALL FOR
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! This job offer is closely linked to a related opening at IET-3 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-362 Please feel free to apply
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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established SOPs for new and existing molecular sequencing technologies – genome engineering, new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies
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4 Dec 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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University Bloomington. He earned his BS from Nanjing Agricultural University and his PhD from Miami University, Oxford, Ohio. Since 2020, he has conducted postdoctoral research at the University of Michigan