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Field
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following programming languages: R or Python. Proficiency in Microsoft Office (including Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 days ago
well as the ability to work in a team # Programming skills in Fortran, Python, and/or C # Experience with common scientific software e.g. CP2K # Experience working with HPC systems # Excellent fluency in English Our
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Expertise: Deep experience in Large Eddy Simulation (LES) and a solid understanding of Atmospheric Boundary Layer (ABL) physics. Programming: Strong proficiency in C++, Fortran, or Python, and experience
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
evaluation. Demonstrated proficiency in programming (Python required). Ability to work independently while contributing to collaborative, interdisciplinary research efforts. Knowledge, Skills & Abilities
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nearing completion) in Bioinformatics, Computational Biology, Genomics, or a related field, and proven experience in analysing high-throughput sequencing data. They will be proficient in R and/or Python and
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computing is strongly preferred. Training or demonstrated research experience in healthcare applications is a plus. SKILLS: Strong programming skills (e.g., C#, C++, Python) Proficiency in XR development
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine
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analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates
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. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset. • Familiarity with geospatial data