51 algorithms-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions in Denmark
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
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of DTU Engineering Technology and the Department of Electric Energy at the Norwegian University of Science and Technology (NTNU). The project will investigate coordinated operation and control of local
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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will take advanced courses to build and deepen your skills, implement and evaluate algorithms, and develop your ability to write and present scientific work. We are a supportive team that will welcome
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Henning
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Job Description A 3-year PhD scholarship in supramolecular chemistry and self-assembly is available in the group of Prof. Sophie Beeren at the Technical University of Denmark in collaboration with
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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materials. This will be done in collaboration with Prof. Dominik Bucher at the Technical University of Munich, and you will be spending 2-6 months in his laboratory. Responsibilities and qualifications
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms