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Field
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International PhD training excellence (here) Renowned supervisors & top-tier labs Interdisciplinary & multi sectoral research Competitive MSCA salary & allowances Global academic & industrial network Non-academic
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: Development and demonstration of 3D-in vitro environment for of electric field interference neuronal simulation with self-organized networked electrode array Project tasks and objectives: The BRAINET is an EU
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Candidate (DC), commencing 1 September 2026 or as soon as possible hereafter. The position is a full‑time appointment for 36 months and is funded by Horizon Europe. Interdisciplinary Network for Training
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the Marie Skłodowska-Curie Doctoral Network (MSCA-DN), on “UNderstanding Lipid ImmunoMetabolIsm To trEat Disease” (UNLIMITED) within the Horizon Europe Programme, latest until 31st August, 2029. The UNLIMITED
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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net radiation, and because snowmelt and evapotranspiration (ET) of meltwater are sinks for latent heat. Growing season water inputs in these environments originate from both rain and meltwater, but
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fieldwork or digital network analysis, and advanced knowledge of the languages and socio-political contexts of Western, Southern, Central, Northern and/or Eastern Europe. The PhD studentship is planned
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of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 1 day ago
hosted by our faculty and build up your scientific network by attending local and international conferences through the generous travel grants that are provided to all of our IMPRS-EBM fellows. The IMPRS
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computational methods for 3D anisotropic Electrical Impedance Tomography. This is a very challenging inverse problem in the intersection of mathematical analysis, geometry and computing that recently has achieved