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Field
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approaches that rely on simplified transmission models, FBMC ensures a more efficient, reliable, and grid-aware allocation of electricity flows. By using detailed network modeling, FBMC facilitates a more
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biology/ecology; Turfgrass science/Turf ecosystem modeling; Urban agriculture, green roofs, and native plants; and Viticulture. Required Job Qualifications Completed PhD or equivalent degree from
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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, PBAT, PBSAT, PBSA, Bio-PES) which are used for biodegradable fibres, twines, nets and ropes. The research work of the candidate shall contribute to develop new models and knowledge on degradation
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, modeling and simulation, integrated circuit design, development of radiation mitigation solutions, and radiation testing. Minimum Qualifications: A PhD in one of the following or another related area is
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research papers for peer-reviewed social science journals Required Technical Skills: Strong background in causal analysis and experimental design: difference-in-differences, fixed effects models
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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these challenges by exploring the pharmacokinetics and biodistribution of phages using clinically relevant mouse models and primary human cell cultures. The research will provide essential insights