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biology, computer science, or related field. Additional Qualifications Interested in molecular biology and genetics Proficiency in Python and software development. If visa sponsorship is needed, Harvard
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coding skills in Python with PyTorch, including reinforcement learning, imitation learning, and flow matching/diffusion-based generative models. • Experience designing hierarchical control
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of cancer genomics and novel therapies. As a successful candidate, you will: Analyze genomic and proteomic data and generate expression matrices using preexisting code. Write short Perl/Python scripts
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data acquisition or experience in programming and modelling (e.g. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able
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to an inclusive and engaging learning environment. Teaching opportunities are available across a range of subject areas including: Programming and Software Development (Python, Java, Object-Oriented Programming
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analyses of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based
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proficiency in SQL and Python, with solid understanding of database permissions, access control, and secure connection practices. Attention to detail in schema design, data structure planning, and documentation
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circuits for SPADs sensors. Development of electronic laboratory test boards. Programming and integration of microcontroller cards for system control and data processing. Python and/or MatLab (scripts
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of python and R programming. You will also have demonstrable experience of software development using version control (e.g. GitHub or similar) and experience using a High Performance Computing environment
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knowledge in Python or R being desirable Strong interpersonal, organizational, and communication skills Excellent attention to detail and problem-solving skills Ability to effectively work in a team setting