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to own backend, data layer and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an
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software engineers to identify risks early and ensure meticulous, high-quality deliverables Profile Master's degree in Computer Science, Electrical Engineering, or a related field, from an accredited
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(scheduling, reporting, budget tracking for TA hours) as needed Your profile University degree (Bachelor's or Master's) in Computer Science, Data Science, or a related technical field Prior
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), designing systems that are resilient and easily maintainable in an automated context. Required skills / experience: Computer Science degree, or software development skills acquired through hands-on
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evaluation failures. Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience
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Willingness to work in a multi-national team Willingness to travel Computer/software skills: Proficiency with Microsoft Office Familiarity with K-layout, COMSOL, Lumerical Languages: Working
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, monitoring and data analysis, helping them plan their projects, review their code and interpret their results. Your profile Essential qualifications and skills A degree in computer science, software
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. Profile Master’s degree or PhD in a relevant discipline (e.g., Computer Science, Engineering, Physics, Applied Mathematics, Data Science, Information Technology, etc.). Strong expertise (more than 10 years
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(20%). Profile An excellent MSc degree in Computer Science, Energy Science, Social Sciences, Environmental Sciences, Sustainability Science, Geography, or a closely related interdiscipline. A strong
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D