48 component-labeling-cuda PhD positions at Technical University of Denmark in Denmark
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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
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. An external research stay of approximately 3 months in a collaborating institution is a mandatory part of this PhD fellowship position. You will work in close collaboration with experienced researchers and
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where variable renewable energy sources are involved. Emerging digital and cyber-physical systems technologies are an integral component of grid interactive efficient buildings. Through advanced control
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international conferences, is an integral part of the job. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
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partners from Denmark and the Netherlands. Thus, these 2 PhD projects will be an integral part of a broader research team, consisting of collaborating partners with a common passion for autonomous