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with embedded systems is a plus. -Solid programming skills in Python or similar languages. As a person you should have a strong analytical thinking and problem-solving abilities. You should also have
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent
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of medical imaging technology and physics. Specific proficiency in relevant software and programming languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions
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foremost universities over the course of 10 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org Your qualifications You have graduated at Master’s level
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analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ Project
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information: https://www.uu.se/en/department/pharmacy/infrastructure/udopp The Department of Pharmacy at Uppsala University offers an interdisciplinary environment at the forefront of pharmaceutical sciences
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on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
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modeling reaction kinetics. Proficiency in Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB