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, including AI-based methods. The project associated with this position aims to take advantage of a virtual library of more than 1 million organometallic bifunctional catalysts, optimised for hydrogenation and
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to the planned project. The postdoctoral project will contribute to the larger, established project CIRCLE (“Co-design of a seamless person-centered intervention to optimise medication use across healthcare levels
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Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
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. Applicants must be proficient in both written and oral English Advantages: Documented education or work experience in the following areas: Numerical modelling in acoustics Programming in Python and MATLAB
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts (e.g., nematic/polar order, topological defects) Interest in developmental biology, mechanochemical
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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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, informatics, genetics, medicine, psychology, or an equivalent field. Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical
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condition of employment that the master's degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a
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output) is a requirement. A good understanding of biogeochemical cycles is an advantage. Experience in scientific programming (e.g., Matlab, Python) is an advantage. Applicants must be able to work