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of AMR enzymes in this process. The research will be tailored to the candidate’s expertise and interests, with emphasis on interdisciplinary collaboration and openness to learning new methodologies
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enzymes in this process. The research will be tailored to the candidate’s expertise and interests, with emphasis on interdisciplinary collaboration and openness to learning new methodologies
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these unfolding processes shape the ways stakeholders and users perceive and value mountain landscapes. Climate and land-use changes typically impact livestock grazing, forestry, recreation, energy production, and
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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Positions. Short-listed applicants will be invited for interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process . In
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with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre in deep learning for image analysis. Starting date as soon as
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@nord.no , phone: +47 74 02 29 49 HR Advisor Ann Karin Størvold, ann.k.storvold@nord.no , phone: +47 74 11 20 48 Application Process Applicants will be assessed by an expert committee. Relevant candidates
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. The research groups are also active in entrepreneurship, clinical process innovation, and industry collaboration. Contact Further information about the position and UiT is available by contacting: Professor
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, phone: +47 74 11 20 48 Application Process Applicants will be assessed by an expert committee. Relevant candidates will be invited for interviews, trial lectures, or other presentations. The faculty
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objectives are to (i) improve process understanding of variation and context-dependencies in biodiversity change, (ii) assess and compare the impacts of multiple global change drivers, and (iii) explore