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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 30 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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leading and managing health services research and evaluation projects • Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data
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responsibilities include contributing to manuscript development, supporting study design using large real-world clinical datasets, managing data, coordinating projects, and assisting with IRB submissions and county
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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8 Apr 2026 Job Information Organisation/Company ENSEMBLE3 Sp. z o. o. Research Field Physics » Solid state physics Researcher Profile First Stage Researcher (R1) Positions Research Support Positions
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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background in statistics, and familiarity with large data sets such as metabolomics or epigenetic sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools
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8 Apr 2026 Job Information Organisation/Company Institute of Space Science-INFLPR Subsidiary Department Laboratory 1010 - High Energy Physics Research Field Physics Researcher Profile Other
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of possible methodological components include self-supervised temporal representation learning for large volumes of unlabeled AE/electrochemical time-series data, switching state-space models that describe