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, and applicants should have Portuguese language ability.Individuals with a passion for interdisciplinary energy-system decarbonization studies aiming to inform policy and investment decision-making
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and programming experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter
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expertise and proficiency with net-zero systems thinking, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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in teams. All candidates must have strong, demonstrated research ability, be comfortable in an interdisciplinary research environment, and have excellent English language verbal and written
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Poland, and additional NZx studies are under discussion. Initially, the applicant's work will be primarily with the Net-Zero Brazil collaboration, and applicants should have Portuguese language ability
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and