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Post-harvest pathology Biomarkers, volatiles, and sensors Cold chains and refrigeration technology Data analysis and modelling (R, Python, CFD) Besides that, you have demonstrable experience in project
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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to cloud infrastructure in Docker containers. Our technology stack is published in our Guidebook and comprises technologies like Google Cloud, Terraform, Docker, Python, Django, React, and TypeScript. We
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broadly one per aviation system being modelled) are written in modern typed Python. About 90% of our current software development is greenfield, meaning that everyone helps shape the architecture of, and
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Establish MS-based biomarkers for target engagement and clinical studies Analyse datasets in Python/R; publish and mentor students What we offer Ownership of the LRRK2 workstream within a major international
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD principles for analytics to enable reliable, tested, automated deployment of data
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/Statistics/Computer Science or related field 2 years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. Competence with Python for database management and statistical
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Ontologias, aprendizaje máquina e inteligencia
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Python programming, gaining valuable research experience alongside your studies. You will collaborate with an experienced, interdisciplinary research team and contribute to the development of Abaqus