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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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organoid models. These models will integrate dynamic mutations, live transcriptomic imaging, and proteomic data. Simulating and optimizing model parameters using advanced computational techniques, including
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analytical and computational models related to optimization, AI-enabled workflow design, and stochastic assembly line balancing • Collaborate with faculty, doctoral students, and industry partners in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The BISE team (Isotopic and Experimental Biogeochemistry) at the Institut
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About UM6P: University Mohammed VI Polytechnic is an institution dedicated
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used to determine optimal pipeline operating conditions and develop guidelines for pipeline operation, providing practical recommendations for impurity concentrations ensuring safe and efficient
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
16 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities