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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
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reactivity of gene-engineered T cells Qualifications Candidates most have a PhD in the area of Immunology and Cell Biology. In addition, candidates should be trained in: T cell detection technologies, using
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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CFD workflows and Lagrangian particle/cell tracking to extracting actionable insights with statistical learning and AI/ML—ultimately enabling more robust scale‑up, smarter process control, and faster
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(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
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(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
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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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, supported by a good understanding of urban water systems, water quality, environmental chemistry and statistics. You should have experience in the development and application of water quality models, with