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have professional experience developing complex electro-mechanical hardware and systems integration to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python
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experience writing in C++ and Python, using libraries including CUDA, ROS, ROS2, PyTorch, etc. You will be able to create and debug large software projects, and can write interfaces to integrate sensors
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enrichment approaches with R, Python etc A high degree of self-motivation and initiative and ability to work both independently and collaboratively within multi-disciplinary teams to meet project deadlines
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, PowerShell, Python, PHP or similar). Experience with automated desktop or laptop deployments is highly desirable. You will be comfortable working across Linux systems and supporting mixed‑platform environments
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programming languages and tools (e.g. Python, MATLAB, etc.) Previous experience of contributing to publications/presentations, with a proven track record of first author publications in peer reviewed journals
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on technical aspects pertaining to core expertise in bioinformatics and Python, scientific protocols and experimental techniques • Be proactive on streaming bioinformatic workflows that sustain
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to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python etc. You will be part of a diverse team who are responsible for designing, building, programming, testing
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both technical and non-technical users Bonus points if you’ve worked with OpenSpecimen, REDCap, or iPassport, or if you have scripting skills (e.g., SQL, R or Python) This is a technical, hands-on role
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., epidemiology, computational biology, computer science, biostatistics, or other quantitative discipline). You should have experience developing software and maintaining deployments, and proficiency in Python, R
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, physics, chemical engineering, computer science (chemistry-focused), or a related field. Strong programming skills in Python and C/C++ are required, along with experience in molecular simulations, machine