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Computer Science, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Computer Science employs more than 170 people, of which about 53 are PhD students, and
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of Psychology is a vibrant, inclusive workplace hosting an engaged group of faculty, post docs and PhD students. The department has close collaborations with Odense University Hospital, and its research covers a
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of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work
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be designed, and carried out, together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence
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stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
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Scandinavia (SALiCCS) and Statistics Denmark. The focus of the research project will be to assess the risk of pregnancy and delivery complications, including preterm birth and caesarean section, among female
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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who has A PhD in soil physics, environmental science, hydrology, geoscience, or similar fields Collaborative skills and ability to demonstrate commitment in teams. A fondness of taking the initiative
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Postdoc who, in addition to the desired expertise stated above, have the following skills and qualifications: A PhD degree in bioinformatics, machine learning, computational biology, statistical genetics