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vivo and in vivo 2-photon live imaging. Documented experience with bioimage analysis and relevant software solutions (such as Image J/FIJI, Python, and Matlab). Experience with molecular genetics
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experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent) certification in animal welfare (e.g. FELASA), although training
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addition to holding a PhD, you must have a strong analytical background and experience in quantitative ecology, spatial analysis, handling large and complex datasets, and proficiency in programming (e.g., R or Python
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to the Arctic Ocean is a requirement. Experience with statistical data analyses including knowledge of R and/or python is required. Experience in biodiversity and/or ecological studies. Proficient in both written
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(R, Python, MATLAB, or similar). Willingness to conduct fieldwork in Arctic conditions. Proficient in both written and oral English. You will be offered the opportunity to participate in digital
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skills in Python, MATLAB and/or C++ at a developer level. A strong publication record. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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. Python/Julia/Matlab). Excellent written and oral English. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and the regulations for the Act relating
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or Python) is a requirement. Experience from or competence of the use of machine learning in geophysics is an advantage. Applicants must be able to work independently and in a structured manner and
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Documented experience in scientific programming (e.g., Python, or similar) Excellent written and oral English skills PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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functional theory or related techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and