30 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Chalmers University of Technology
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between nucleons. In this PhD position, you will: Develop models & methods: create and models using effective field theory to analyze and predict the quantum properties of atomic nuclei. Quantify
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superconducting circuits. This project focuses on modeling the quantum dynamics of these circuits at the Hamiltonian level and optimizing their control. You will develop theoretical models and optimization
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include fine-grained and bounded space cryptography, realization of idealized models, relationship between cryptographic notions, and similar topics in foundational cryptography. Exploring connections
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Join our dynamic Photonics Laboratory at Chalmers, where you will work on cutting-edge silicon photonics, optoelectronics, and fiber optic systems. You will have the opportunity to develop
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for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A
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valuable experience in a dynamic and collaborative research environment. Whether you envision a future in academic research, driving technological advancements in industry, or launching your own start-up
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%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting salary of 34,550 SEK per month (valid from May 25, 2025). Chalmers is
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technologies to transform supply chain processes and models, ultimately driving competitive advantage. The exact focus will be further discussed and decided together with the supervisors. The PhD student will
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of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms are essential. Analytical thinking, eagerness