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programming or similar. Fluency in oral and written communication in English is a requirement. For further information about a specific subject see; General curricula for the Board of the faculty of science and
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. The research program “Save the Ash”, managed by Skogforsk and SLU, aims to develop a more resistant population of European ash for the future. The PhD project will investigate the recent rapid decline in
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to complete the programme. Additional requirements: Very good oral and written proficiency in English. Very good knowledge in materials science or chemistry relevant for the position, for example chemistry of
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through the University’s Swedish language courses for new international staff. For your move to Sweden, we offer you continuous support through our relocation services. If you are accompanied by family
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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individual case. Additional requirements: Very good oral and written proficiency in English. Master’s level studies in a program with good preparation for research and appliction of bioinformatical approaches
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data