170 Engineering-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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engineering, physics, materials science or a related area. Experience with modeling, experiments and design. Team players with good communication skills. Creative, independent and self-motivated. with
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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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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals
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within the PhotonDelta and QuantumDelta growth fund program. Besides research you will also contribute to education within our group and the Department of Electrical Engineering and mentor BSc and MSc
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metals and physical metallurgy. Applicant must: hold an MSc-degree in the field of materials science or related disciplines, such as solid-state physics or materials engineering, with a solid background in
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modeling will be used to model processes occuring in the electrode. The obtained insights will be used to engineer and fabricate new electrode geometries with optimized mass transport and catalyst layer
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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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to embed qubits in scalable systems and help bring quantum technology to real-world applications? We are seeking PhD's researchers to work at the interface between color center physics and integrated
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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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characterization data, ensuring that circuit designers have access to highly accurate, data-driven building blocks within the PDK. Close collaboration is expected with colleagues responsible for process engineering