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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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projects and to organize and plan your work. Ability to document your work in a thorough and organized manner. Eligibility Students with basic eligibility for third-cycle studies are those who- have
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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, statistical data analysis (e.g., linear models, linear mixed models, genomic prediction, genomic association studies, etc.), analysis of genotype and DNA sequence data, simulations programming/scripting
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The doctoral student will join the research group of Associate Professor
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associated analysis. Knowledge of various techniques/instruments such as ICP, UV, etc. Experience of statistical analysis of experimental results. Experience of using various software programs such as Matlab
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Stockholm University, Department of Physics/EKMF Position ID: Stockholm University-Department of Physics/EKMF-PHD [#30519, SU FV-3223-25] Position Title: Position Type: Student programs Position
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, immunology and how this relates to disease development experience in biostatistical analysis and programming in R Merits for the position: knowledge of virus-host interactions, immunology and how this relates
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on