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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 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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data collection activities, ability and interest in working with large datasets, and interest in working with interdisciplinary teams of researchers. The expectation is that the scholar would help lead
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assays such as light/dark, von Frey, and facial grimace. Additionally, the successful candidate must possess technical proficiency in MATLAB and Python for data analysis and processing Duties to include
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Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential
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biology and genomics. We are collaborative and multidisciplinary, combining organic chemistry, cell and molecular biology, protein biochemistry, and large-scale genetic screening in our research approach
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research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine
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development, radiative transfer modeling, and satellite data analysis. While associated with a sponsored project, the postdoctoral associate will also have opportunities to contribute to broader group research
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Works in the lab to manufacture and characterize the formulations. Works on pharmacokinetic evaluation of the formulations. Conducts data analysis and preliminary data collection and also provide support
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in