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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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fellowship in Experimental Quantum Physics . The project is part of the research project “Hybrid Quantum Networks”, which is financed by the Danish National Research Foundation. Start date is (expected to be
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patient-based format to address ethics, patient perspectives, and costs, clearly defining societal benefits and pitfalls. Project description We are looking for applicants for a PhD scholarship for the
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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of opportunity to a variety of careers within the private and public sectors. The program includes the drafting of a PhD thesis, active participation in research networks, PhD courses and knowledge
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horizons for advanced technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which
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decision support systems will increasingly define the future. While significant strides have been made in the development of autonomous systems, their reliability and safety remain key concerns, particularly
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Doctoral Network project “Leveraging Anaerobic Digestion through environmental stresses (LeAD) ”, the hired PhD Scholar will focus on anaerobic microbiome, microbial ecology, microbial interactions
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modelling or coupled wind-wave modelling Experience with wind resource assessment and site suitability, including WAsP and WEng software Experience using wind turbine wake models Knowledge of meteorological
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successful integration into the cilia research field and networking. Access to an international collaborative environment that can be used for a mandatory up to 6 months research mobility. Access to state