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of BSc and MSc. Qualifications MSc graduates with a background in either Engineering, Mathematics, Computer Science, Computer Engineering, Physics, Sustainable Energy, Electro-chemistry, and related
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Job Description The STEM Education Research Center at the Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) offers a PhD scholarship on systemic
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; shape and/or topology optimization. We envision that: You have an open mind and can think creatively in mathematical, physical, mechanical and programming contexts You are eager to elaborate on the newest
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candidate should hold a Master's degree in either Data Science, Applied Mathematics, Business Administration and Economics or a related field with strong programming skills, particularly in Python. Priority
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scholarship is available to students who wish to enter the PhD programme in Economics or Social Sciences. A 5+3 PhD scholarship is granted to applicants who have completed a MSc in Economics, Mathematics and
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PhD Position on Systemic Change in STEM Education: Bridging Stakeholders to Create Shared Visions...
The STEM Education Research Center at the Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) offers a PhD scholarship on systemic change in STEM
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with a background in either engineering, mathematics, computer science, computer engineering, physics, sustainable energy, electro-chemistry, and related disciplines, including hands-on experiences
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Modelling using CAD design and simulations, and mathematics. A strong motivation for collaborative projects within academia and industry Proficiency in Danish is required due to collaboration with local
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mathematics. We believe in diversity to create a safe and supportive work environment for all. Past EMA alumni include successful scientists, both within industry and academia. This PhD scholarship is part of a
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livestock in Denmark as part of the Danmap program (www.danmap.org ). In addition to scientific publication, the obtained quantitative epidemiological models should be integrated into a mathematical tool that