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. Excellent communication skills in English and the ability to work collaboratively. The ability to direct and take ownership of research projects. Desirable Experience with the zebrafish model Experience with
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& Evidence: Investigating applied policy and programming questions to strengthen pandemic prevention, such as early warning systems, crisis data infrastructure, and overlooked drivers of vulnerability
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at least one programming language: Python, MATLAB, R or C A strong publication record in relevant fields. Curiosity, critical thinking, and enthusiasm for interdisciplinary teamwork. Comfortable
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied
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the boundaries of physics. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language
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tools (e.g., Tableau, ggplot2) and programming languages (e.g., Python, R). Strong Communication Skills: Excellent verbal and written communication skills in English, with the ability to convey complex
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. Experience with building simulation models (e.g., EnergyPlus, IDA ICE or similar). Good understanding of building physics Proficiency in programming e.g. in MATLAB, Python or similar environments for modelling