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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a
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requirements are mandatory: A doctoral degree or an equivalent foreign degree, in remote sensing, physics, electrical engineering, or related disciplines. This eligibility requirement must be met no later than
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that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of employment decision. Under special
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interdisciplinary research teams and internal and external partners. Required qualifications Applicants must have: A PhD in ecology, marine biology, statistics or a related discipline. Strong expertise in statistical
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interdisciplinary research teams and internal and external partners. Required qualifications Applicants must have: A PhD in ecology, marine biology, statistics or a related discipline. Strong expertise in statistical
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biochemical methods, as well as cellular and molecular immunological techniques, and experience in these are desired. The following qualifications will be especially valued: PhD in immunology or corresponding
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or Umeå, in agreements with the project leaders. Your profile The candidate must have a PhD degree in silviculture, forest growth and yield modelling, and/or forest management The candidate must have
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and transcriptomic data sets from pigs and their living environments. Publish findings in high-impact scientific journals and present results at conferences. Your profile Reguirements: PhD in animal
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-impact scientific journals and present results at conferences. Your profile Reguirements: PhD in animal science, biology, veterinary medicine or eqvivalent. Experience from farm animal research projects