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independently. You believe in, and want to contribute to, an inclusive, open and safe workspace. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a
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experience in experimental research is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently as well as in multidisciplinary research teams. TU Delft (Delft
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methods and scheduling problems as well as optimization packages such as Pyomo. You enjoy programming and have experience with Python, machine learning, command-line tools, version control. TU Delft (Delft
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enjoy programming and have experience with Python, machine learning, command-line tools, version control. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions
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optimization methods and scheduling problems as well as optimization packages such as Pyomo. You enjoy programming and have experience with Python, machine learning, command-line tools, version control. TU Delft
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into consideration. Supervisors: Prof. dr. Bas Kolen (UvA, HKV) · Prof. dr. Ton van den Bremer (UvA, TU Delft) · Dr. Kees van Ginkel (Deltares, VU). This is what we offer you We offer: A temporary employment contract
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-preserved. The project You will join the newly funded NWO (Dutch Research Council) KIC project Sharing the Warmth, an interdisciplinary collaboration between Wageningen University, TU Delft, Hogeschool
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Wageningen University, TU Delft, Hogeschool Utrecht, CWI, Dutch municipalities, DSOs and other societal/industry partners. The project brings together expertise in energy informatics, software engineering