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Field
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test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills. Where to apply Website https
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of this brain cancer, as well as the evolution of the tumor. This part of the project involves designing, developping, and running machine learning algorithms and approaches to exploit vectors of RNA modification
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. Han, “Once-for-all: Train one network and specialize it for efficient deployment,” in International Conference on Learning Representations, 2020. [Online]. Available: https://openreview.net/forum?id
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Groningen as a PhD student. Your tasks Develop a bird inspired algorithm and robot capable of magnetic navigation like a bird using the guidance, navigation and control framework as a robotics basis. Develop
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developing or applying quantum algorithms aligns with one or more of these departments and who can collaborate effectively with our faculty in various quantum domains such as quantum information, quantum
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departments are Hadron Physics and QCD as well as Nuclear Astrophysics and Structure. The Hot and Dense QCD matter department is looking for a Research Software engineer for Theory (all genders) Posting ID
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 9 hours ago
computational science focus # Experience in numerical algorithms is a plus # Practical experience and proven contributions (scientific publications or software development) are a plus # Experience with libraries
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 9 hours ago
(highly) parallel programming for HPC and Scientific Computing # Active contribution to Open Source Scientific Community codes # Working with application field scientists from various fields and different
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models