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Field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Project Advanced genome engineering to investigate Wnt signaling in animals (Boutros SFB1324-Z03
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 23 hours ago
a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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16 Apr 2026 Job Information Organisation/Company Eberhard Karls University Tübingen Department Institute of Biomedical Engineering Research Field Engineering » Biomedical engineering Neurosciences
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, layout and finalisation of the complex ASIC, including components designed by collaborators Requirements Master's or PhD Degree in Electrical/Electronics Engineering or equivalent professional experience
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. In the departments
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours
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: Postdoc: Ph.D. in Materials Science, Physics, Chemistry, Mechanical/Electrical Engineering, or related field PhD candidate: Strong Master’s/Diploma degree with very good grades Experience in materials
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Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 20 May 2026 - 18:00 (Europe/Berlin) Country Germany Type of Contract Temporary
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering