156 engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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developers, and technology providers for high-tech greenhouses. The goal of the GreenControl project is to collaborate with this team to support the transition to climate neutrality in CEA by using a
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close collabrations with NL and EU industrial partners. Job requirements MSc degree in Electrical & Mechanical Engineering, Power Electronics, Materials, or a closely related discipline. Strong background
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We are looking for a PhD student to help us develop practical cryptography for the post-quantum era. This (fully funded) PhD studentship focuses on provable security. Information You will develop the next generation of post-quantum cryptographic schemes that are designed with implementation...
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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of heterobispecific Fc format using protein engineering focusing on humanization and improved stability. Generation of high affinity minibinders for blood coagulation factors based on "in silico affinity maturation
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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of artificial intelligence, cardiovascular engineering, and clinical medicine, with the potential to contribute directly to the future of personalized cardiovascular care. As a PhD candidate, you will work
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engineering, architecture, built environment studies, management, organisation studies, information systems, innovation studies, or a related field. A strong interest in digital transformation, construction
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, Electrical Engineering, or a closely related field. Strong background in quantum science and solid-state physics. Independence and self-drive, with the ability to identify interesting questions and interpret
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in science- and technology-based innovation. The project bridges economic geography and innovation studies to understand how doctoral training, international mobility, and institutional contexts shape