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. Responsibilities include designing real-time analytics using Python and TensorFlow, reporting research findings, and contributing to collaborative research efforts. The position applies advanced skills developed
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mechanical fabrication; • embedded systems and sensor integration; • ROS, C++, or Python programming. • Candidates should demonstrate strong practical problem-solving skills
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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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technical field; minimum five years of relevant programming, software engineering, machine learning engineering, research engineering, scientific computing, or applied data science experience; strong Python
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candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal
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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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of analytic cohorts and evaluation of diagnostic and procedure codes. Experience and proficiency with one or more statistical software packages (SAS, R, Python, STATA), including data visualization. Preferred
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, computer vision, or cybersecurity. Basic programming experience, preferably with Python and MATLAB. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of
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research and technical experience in photonics, optoelectronic device microfabrication and characterisation. You will have experience in photonic design using python-based libraries (GDS-helpers, K-layout
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experience analysing biological or genomic datasets using computational methods. You will have familiarity with Linux/Unix command-line environments and scripting languages such as Python, R or Bash, together