86 scientific-programming PhD scholarships at Technical University of Denmark in Denmark
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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, publication, and scientific dissemination, where your primary research tasks will focus on: Designing, developing, standardising and validating in vitro models of food allergy sensitisation Selecting and
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Job Description If you are you passionate about getting to the core of a scientific problem and coming up with creative solutions, and if you are you passionate about experimental electrocatalysis
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. The scientific work conducted must be positioned relative to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong
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Job Description Are you passionate about materials science, electron microscopy, and tackling real-world environmental challenges? Join us at the National Centre for Nanofabrication and
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study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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production at a partner company. The position includes both theoretical and experimental work and carries project as well as academic responsibilities. The scientific work conducted must be positioned relative
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics