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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
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LLMs (open/closed source), API integration, fine-tuning/RAG; survey/experimental research. We offer you A fully-funded position for two years, with possibility of further extension. A research-industry
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to the ANR NGS-EU and ALCESTE projects. The GRE team welcomes experts in seismic hazards, landslides and related topics. The ALCESTE project, which aims to develop a new state-of-the-art seismic hazard map for
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areas, with a Ph.D. degree obtained within the last 7 years. The postdoctoral researcher will work on the mapping, quantification, valuation, and integrated modeling of Ecosystem Services (ES) associated
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; fluent English. Preferred: experience with LLMs (open/closed source), API integration, fine-tuning/RAG; survey/experimental research. A fully-funded position for two years, with possibility of further
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skills and familiarity with LLM APIs (e.g., OpenAI API), agent frameworks (e.g. LangChain), PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Experience with front-end
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Full Time: 35 hours per week Fixed Term: 30 months We are looking for a Post-Doctoral Research Associate to map the early radiation of land plants using a combination of 3D imaging approaches
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KAIST, Physics Position ID: KAIST-Physics-PD2025 [#31057] Position Title: Position Type: Postdoctoral Position Location: Daejeon, Daejeon 34141, Korea, The Republic of [map ] Subject Areas: High
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, United States of America [map ] Subject Areas: Environmental Economics Natural Sciences Forestry Appl Deadline: none (posted 2025/08/28) Position Description: Apply Position Description Dr. Jeffrey R. Vincent, the Clarence
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or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as