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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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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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safety and encouraging others to do the same; respecting safety rules and procedures Promoting synergy and cooperation between the various parts of the Organization. Language skills: Ability to draw-up
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and external seminars, etc. UNIL is committed
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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integration Experience with programming languages and exposure to real-time imaging analysis Strong teamwork and communication skills for interdisciplinary collaboration *Applicants who do not fully meet all
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of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
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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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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You