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Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The successful candidate is expected
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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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• Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks
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Bachelor's degree in Computer Science/Engineering, Information Sciences, or related field. Three or more years of relevant experience developing code using python or similar programming languages System
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material