30 programming-"Multiple"-"U"-"Washington-University-in-St"-"Humboldt-Stiftung-Foundation"-"Prof" PhD positions in Belgium
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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statistics/ mathematic background Strong programming skills in at least one major programming language Interest in applying relevant mathematical modeling techniques A collaborative team player with a desire
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the following elements: Abstract (max 250 words) The abstract of a PhD research plan should serve as a concise summary of the key elements of your proposed research. It should provide an overview
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for detecting multiple biomolecules, including nucleic acids, proteins, and other clinically relevant analytes. Position You prepare a doctoral thesis in the field of molecular quenching strategies
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Scholarship Council has many different programs that offer scholarships for doctoral studies. The two most frequently used programs are: Ghent University has signed a cooperation agreement with the China
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for five years, from November 30, 2023, to November 30, 2028. Under this agreement, UGent and CSC co-finance about 50 new CSC PhD students annually. Students selected through the UGent-CSC preference program
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personal motivation for applying (why a doctoral program, why in Luxembourg, minimum 300 words) A statement on the candidate's motivation for applying for this topic (minimum 300 words) Full CV, including
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus