20 phd-position-in-data-modeling PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for 4 highly motivated PhD students
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. This research is a part of an NWO project called “Enabling Positive Energy Districs through citizen-centered socio-technical models for upscaling pf the heat transition” or EmPowerED that studies various aspects
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, multi-scale modelling, etc.), in electrical power systems (energy system flexibility coordination, local energy markets, capacity & congestion management, etc.). Information The decarbonization
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and assembly of concrete PCMs. RecyWax+ offers a PhD position for molecular-dynamics simulations of novel PCM systems for thermal storage. Recywax+ is supported within the Dutch Research Council NWO OTP
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in CO2 emissions through implementation of sustainable heat storage solutions. A PhD position in the Laboratory of Physical Chemistry (SPC) of Eindhoven University of Technology is now available with
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fully-funded, four-year PhD position focused on accelerating mission-oriented innovation while balancing innovation speed and societal outcomes. Information You will study how governments can accelerate
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new features such as positioning and sensing. Information You will innovate Optical Wireless Communication (OWC) links. Laser beams promise wireless access in high-density locations (many devices per m2
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which you describe your motivation and qualifications for the position. Curriculum vitae, including a list of your publications and the contact information of three references. Doing a PhD at TU Eindhoven
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approaches have not been updated in the era of IoT and AI. The overarching aim of this PhD research is to develop a novel data-driven safety assessment and certification framework, leveraging multiple data