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Field
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/Qualifications Who you are You have a Professional Master’s degree or PhD in electrical/software engineering or equivalent through experience. You have 3-5 years of experience in computer vision and image
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, mechanical engineers, and software developers to achieve a compact, integrated sensor solution. Required skills, experience and candidate profile: Master’s degree or PhD in Optical Engineering, Physics
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2026 The professorship will be based at the Institute for Evolution and Ecology (EvE) in the Department of Biology. The research at EvE focuses on ecological and evolutionary processes and mechanisms
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equipment Develop computational and data analysis tools for bubble dynamics and ultrasound propagation Collaborate closely within our interdisciplinary team, which combines expertise in chemistry, mechanical
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technical communication, as well as engineering computation (e.g., MATLAB, LabVIEW), device fabrication, mechanics of materials, electromechanical and fluid systems. The successful candidate will be expected
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Master of Engineering (MEng) students, a professional program for students taking courses with us for a year or two. And we have about 350 MASc and PhD students, who work individually on research projects
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) Positions PhD Positions Country France Application Deadline 30 Sep 2025 - 17:00 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2025 Is the job funded through
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bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University's Department of Mechanical Engineering
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: A Bachelor’s degree in Mechanical Engineering, Materials Science, Computer Science, or a related field. Good publication record; Good communication and writing in English for research work; Good