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programming in R) Field work experience and a valid driver's license Willingness to travel and undertake extended fieldwork for data collection Advanced language skills in English (oral and writing) Workplace
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biodiversity policy Experience with programming (preferred but not required) Professional working proficiency in English (Position 1) Master’s degree or equivalent in environmental science, political science
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health. She or he will be experienced with Python programming for bioinformatics software development, collaborative development on GitHub, and comfortable coordinating with a collaborative team of
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the semester. We handle working time flexibly so that you can take time to prepare for exams or fulfil other study obligations. Profile Current master's student Languages: English Very good knowledge of data
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and private sectors. Your working style is team-oriented, and you are highly proficient in English. Workplace Workplace We offer We offer an entrepreneurial research atmosphere within a dynamic team at
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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possible (latest beginning of October), for a fixed term of 5 months, with a possibility of extension. The course language is English. Under the title “Public House”, we will be working on communal domestic
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project of this initiative is the Large Language Model (LLM) effort, which aims to create state-of-the-art language models at various scales, including an ambitious 70B parameter model. This work leverages