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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES
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an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research
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Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance theme. TU Delft
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network on climate action, particularly through the Climate Action Programme and its Climate Governance theme. TU Delft offers you a dynamic, international research environment with excellent facilities and
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, Computer Science, Applied Mathematics or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of
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record in machine-learning methods for computational physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is
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sector clients working on (social) sustainability in tropical value chains? Would you like to support businesses, policymakers and NGOs in evaluating and learning from programs for improving smallholder
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX-research program is made