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computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field Strong experience in machine learning and/or deep learning
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, and open scientific resources where relevant Required Qualifications Applicants must have: A PhD in computational proteomics, bioinformatics, machine learning, computer science, chemometrics
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, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep
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, iterate on the synthesis of the novel permanent magnet. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with micromagnetic modeling
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involve the construction of quantum models and running simulations on our computer cluster. The successful applicant will also contribute to disseminating the results at conferences and meetings. Your
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, who organize the beached bird surveys, and Norwegian Institute of Bioeconomy Research, who carry out the genetic analyses. The project will further connect to ongoing research on plastic ingestion and
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for a highly motivated candidate who meets the following qualifications and characteristics: A PhD (completed or close to completion) in Software Engineering, Computer Science, Programming Languages
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in simulation of robotic systems Experience in design and development of robotic systems Experience with using computer vision. Furthermore, the successful candidate is expected to: Have excellent
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Trier Taasti at DCPT and the Department of Clinical Medicine. Your competences You have academic qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is
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collaborative research into the molecular and genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design