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requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be
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intelligence. What we expect Applicants should hold a Master of Science degree (or equivalent) in Electrical or Electronic Engineering with experience in CMOS IC design. The ideal candidate has: Strong
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motivation Curriculum Vitae (including the names and contact details of two referees) Master’s and Bachelor’s degree certificates and transcripts (original and an official English translation) Completed TEK
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platforms. Responsibilities and qualifications As a PhD candidate, you will work on developing synergistic workflows to model dynamic, multi-phase systems. Your primary focus will be to overcome
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social sciences embedded in an engineering environment. Your main supervisor will be Senior Researcher Sophie Nyborg, and you will join the PhD School at DTU Wind and Energy Systems. Responsibilities and
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on behaviour and quality of life. Your insights will directly shape the explainability features developed in the AI-focused PhD project. The ideal candidate holds a master's degree in psychology or is
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modelling and scientific computing. We also expect a high level of soft skills: working in a team, reporting, presenting, etc. You must have a two-year master's degree (120 ECTS points) or a similar degree
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chemistry) of the reactors (fluid bed and POX) to understand the chemistry and direct process modifications. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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of cyber-physical energy systems. Tasks The PhD student will contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how
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contribute to the development of nutritious and safe diets and support sustainable food innovation. PhD Project The primary objective of the PhD project is to identify, develop, and apply beneficial