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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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sequences to study phylogenetic relations. About you The successful candidate will be educated to PhD/DPhil level with relevant experience in molecular plant biology and biochemistry. They will work closely
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, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience No experience required Required License/Registration/Certification NA Physical Requirements Lifting/Carrying
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wet-lab researchers, clinicians, and computational scientists contributing to manuscripts, grant applications, and scientific presentations supervising MSc and PhD student projects Entry requirements We
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co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the research project You will
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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to the Viking past over time. The ideal candidate will either have a PhD in Old Norse Viking Studies and have engaged in their research with reception, and particularly with branding, marketing and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual