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Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and
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to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge
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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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, statistics, programming (e.g., R or Python), or language technology, scientific writing and analytical ability. Experience with text analysis, machine learning, or linguistic data management will be considered
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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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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methods, and additive manufacturing is considered an advantage. You should also have programming experience, preferably in Python, and demonstrate good command of English, both spoken and written. What you
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considered a plus Understanding of Python scripting is considered a plus. As a person you are a strong communicator and are comfortable solving complex problems. This will sometimes require contacting system
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an advantage. You should also have programming experience, preferably in Python, and demonstrate good command of English, both spoken and written. What you will do Design, analyse, and test bioinspired compact
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related field, Knowledge in fluid mechanics and heat transfer, Programming skills (Python, MATLAB or equivalent), Strong English communication skills. Experience in multiphase flows, modeling, or AI methods