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Field
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/cold environments is an advantage. Previous experience in automated processing of large data volumes such as Earth observation data is beneficial. It is an advantage if potential previous experience with
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determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes. Proven expertise in cryo-EM experiment design, execution, and data
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-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal
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to explore the dynamics of tropical forests responding and feeding back to climate. The position is part of the NGEE-Tropics project (https://ngee-tropics.lbl.gov ), a long-term, DOE-funded effort to
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implementation science frameworks to guide selection of measures, analytic plans, and interpretation of implementation determinants and outcomes. • Support or lead “big data” analyses
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outcomes. • Support or lead “big data” analyses to identify areas with low testing coverage and inform placement/targeting of community-based HIV testing. • Integrate, clean and harmonize multiple data
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27 Aug 2026 Job Information Organisation/Company University of Algarve Research Field Engineering Technology Environmental science Sociology Researcher Profile First Stage Researcher (R1) Positions