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application, to ultimately benefit patients. The PhD candidate will be co-supervised by Dr. Olivier Ayrault (Children's Oncology Research Unit, Inserm U1330 / CNRS EMR 8001) and Dr. Alexandre Baffet (Cell
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tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours
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training and network activities, take PhD courses, write scientific articles and the PhD thesis, participate in national and international congresses and scientific meetings, undertake a research stay at an
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dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven experience in identifying nervous system
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, 3M), training on the anti-cancer capacity of GNM in vivo. PhD School enrolment: Stichting Radboud Universitair Medisch Centrum https://www.radboudumc.nl/en/research/research-groups/biochemistry
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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 30 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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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Resilient Beyond-5G/6G Networks through Zero-Touch Network and Service Management. The PhD
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a fault location and detection on the electrical and communication networks (including