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also interested in environmental data, AI-powered analytics, applied mathematics and physics? Then this job is for you! The goal is to complete a doctoral education while working on a collaborative
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of analytical research infrastructures in tackling the challenges associated with sustainable development and industrial competitiveness in the areas of “Health”, “Digital, Industry & Space”, “Climate, Energy and
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asset Excellent written and oral communication skills Strong analytical and problem-solving skills Ability to work both independently and as part of a team. Before applying, please note that to work
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ecosystems (numpy, scipy, matplotlib) Strong analytical and quantitative skills Personal suitability and motivation for the position. Qualifications considered an advantage Experience with research
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping
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analytical skills, initiative, creativity, and flexibility are highly desired. A MSc degree in Mechanical Engineering, Materials Science, Aerospace Engineering, Applied Physics, or similar, with a strong
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will hold a doctoral degree and possess strong expertise in quantitative research methods and analytics. An established record of scholarly activity is required. The role involves contributing
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to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with
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or developmental biology, innovation, and technology Excellent analytical, empirical, and organizational skills A research-driven mindset with the ability to work independently Strong communication and collaboration