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for metamaterials design For candidates who would like to apply for a fourth year including teaching, good knowledge of Norwegian or another Scandinavian language is strongly preferred Language requirement: Good oral
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English. Applicants must have experience in field work and data collection. Applicants must have basic statistical analysis knowledge and good command of Excel. Applicants must permanently and habitually
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Pensjonskasse , which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Read more about the benefits of working in the public sector at Employer Portal . Application
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exercise during working hours A workplace with good development and career opportunities Career development programmes Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes
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the National Insurance Scheme which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
research methods. Good career opportunities Flexible working hours and a state collective pay agreement Pension scheme through the state pension fund PhD Fellows are normally given a salary of 550 800 NOK
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where they live, has access to good health and care services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services . More
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may hold a PhD Research Fellowship at the University of Oslo for one fellowship period only. Place of work is Integreat – Norwegian Centre for Knowledge-driven Machine Learning at University of Oslo
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: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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- knowledge of modeling neural systems and the underlying biophysics - knowledge of computational neuroscience and mathematical methods - experience in handling neurophysiological data - advanced