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, Statistics, Bioinformatics, Chemistry, Biology, Archaeology). Desirable to have a PhD (awarded or imminent) in a relevant subject and involving statistical data analyses and formal model comparison. Experience
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). The researcher may participate also other research projects. Our expectations of the applicant The position requires expertise in statistics, statistical modeling, and preferably in forest sciences. Knowledge
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of the model predictions. Validation and evaluation of the RFBs with optimized hierarchical electrodes. Research environment The position will be open at Fureho AB , an advanced materials start-up operating
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are seeking a highly motivated PhD candidate to start a Joint PhD at Ghent University and Hasselt University working on modelling the reliability of thin-film tandem solar cells. Tandem solar cells have the
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-on training on various modelling software. Teaching Qualification Requirements: Education: PhD with training in the field of computational materials science preferred. In exceptional cases, PhD students may be
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Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 31 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Mar
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language models) and neuroscience. The Assistant Professor should have an interest in bringing new methods in AI to neuroscience, and/or using findings/data from neuroscience to develop new AI solutions
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the INSTRUCT project (2025-2029). The researcher may participate also other research projects. Our expectations of the applicant The position requires expertise in statistics, statistical modeling, and
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experiences by mobile apps and virtual assistants. As an Assistant/Associate Professor you will: carry out innovative research in the field of data-driven and Artificial Intelligence (AI)-driven modelling
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) (e.g., deep neural networks and large language models) and neuroscience. The Assistant Professor should have an interest in bringing new methods in AI to neuroscience, and/or using findings/data from