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Internal Number: 6568986 Postdoc Scholar - Marine ecology ESPM The Coastal Climate Resilience Lab - MCECO - ESPM Ecosystem Sciences Div - Carlson Lab Position overview Salary range: The UC academic salary
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for 60 heaps. Linking them with ground-based data will allow to develop models revealing variability of ecosystem functions and biodiversity within spoil heaps, as well as along successional gradients
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language models that can democratize access to reliable health information. Applicants will collaborate closely with PI Emma Pierson as well as other PhD students and postdocs in the lab. Union: https
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 days ago
applied to both existing and new flight data. The applicant should have experience with materials modeling, uncertainty quantification, and heat transfer analysis. Field of Science: Engineering Advisors
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modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group ‘Danish
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applications is preferred. Experience with climate data analysis and crop modeling techniques is preferred. Knowledge of African agriculture and its challenges is a plus. Experience working in interdisciplinary
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. The ideal candidate will have a recently awarded PhD in a relevant field and a strong track record of productive research. This position offers an exciting opportunity to lead an independent research
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Research FieldNeurosciencesYears of Research ExperienceNone Research FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in Neurobiology, in
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in
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Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Experience with in vitro cell models and in