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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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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass