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to develop collaborations using cutting-edge technologies in genetics, genomics, and single-cell biology. Responsibilities: The academic appointment will be in the Department of Immunology at Harvard Medical
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in the Department of Systems Biology is looking for a Software Engineer to work in a team using state-of-the-art machine learning approaches for modeling genomes and proteins from viruses to humans
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atherosclerosis. The successful applicant will possess a PhD in a relevant subject such as biological science, have at least two years of post-doctoral experience, and have extensive "hands-on" experience of single
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the Das lab at the Biology department. The major responsibilities include the following, 1. performing experiments with yeast cell culture, including strain preparation, data collection. The major
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development for CCB workshops in computational biology and machine learning Delivering hands on training and office hours for workflows in computational biology Using and developing curricula using AI/ML models
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destruction of tumors and pathogen-infected cells. This will support the research mission at Dana-Farber and in furtherance of understanding molecular, cellular, and structural biology components as applied
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This position is crucial in supporting the laboratory's functioning by fulfilling significant needs, allowing advanced researchers to focus on critical activities. The laboratory focuses on how thyroid hormone signals to control critical physiology. The job involves managing our mouse colony and...
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As a member of the Molecular Genetics Core, the Core technician operates state-of-the-art genetic analysis instruments to provide experimental date to investigators across the medical campus in a fee-for-service environment. Extracts DNA/RNA from various tissues, primarily blood, and stores for...
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; basic familiarity with biology and/or neuroscience in order to help contextualize the computational tools being deployed and write reports about the research and the tools being developed; and some MATLAB
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Biological science or other relevant experience. Ability to work independently and communicate effectively with end users. Ability to learn on the job and to organise the day-to-day calendar to ensure that experiments