9 statistics-phd Postdoctoral positions at Technical University of Denmark in Denmark
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positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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statistical analyses for the tasks. Based on your competence and interests, your tasks will include: Develop and use epidemiological models (for example regression models or SIR-models), including for “what
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
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. Additionally, your resume must comprise: A PhD or equivalent Research experience in Software Engineering or Digital Twin & Digital Transformation Track record of publications. Ability to work collaboratively in
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disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines
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for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer