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Field
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during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity with real-world programming language specifications
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and script languages For informal queries please contact
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team. Strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis. Past medical research is not required, but
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open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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of the principles of clonal evolution Experience analyzing DNA sequencing data Strong Python and/or R programming skills Proficient with standard statistical analyses Strong publication record Excellent written and
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and genetics Quantitative imaging techniques (FRAP, FLIM, super-resolution) Analysis of protein folding, stability, and phase separation Programming for data analysis and mathematical modeling (Python
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-scale molecular datasets Programming skills in Python and/or R Strong publication record in related areas Excellence in experimental design and execution Excellent written and verbal communication skills
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modelling. Experience in cybersecurity, including vulnerability assessment, threat detection, and incident response. Proficiency in programming languages such as Python, Java, or C++, and experience with AI