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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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://eng.ed.ac.uk/studying/degrees/postgraduate-research/phd/integrated-unde… Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications See: https
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, favourable working conditions? We welcome you to apply for a PhD position at the Department of Information Technology, Uppsala University. The position is part of the SecReSy4You Doctoral Network, funded by
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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 This PhD project is part of the MSCA Doctoral Network "SecReSy4You
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20 Mar 2026 Job Information Organisation/Company LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun 2026 - 00:00
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Starting date: 02.04.2026 Job description:Doctoral student
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network of fish physiologists. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 568 700. Further increases in salary are made according
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, and secondments at leading academic and industrial partners across Europe (Italy and Netherlands for this PhD offer). More information : https://cordis.europa.eu/project/id/101227338 •Master’s degree
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 20 days ago
Transport is looking for a PhD Student (f/m/d) Tomographic analysis of flow fields in pore networks affected by clogging. The work is being carried out as part of a joint project involving several
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and