17 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Linköping University in Sweden
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doctoral candidate will investigate new strategies to control the electronic properties of organic semiconductors through innovative doping mechanisms. The work will combine tailored molecular and materials
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The doctoral candidate will investigate new strategies to control the electronic properties of organic semiconductors through innovative doping mechanisms. The work will combine tailored molecular and
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, Accelerator Mass Spectrometry (AMS) ) for ultra-trace detection of actinides. Integrate experimental results into dynamic geochemical and transport models to predict future radionuclide behavior under different
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. CNC and robotic machining, additive manufacturing, and digital simulation, the research investigates how future aesthetics and methods of production might be shaped in this dynamic interplay between
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. Hands-on experience in a variety of molecular biology techniques, such as PCR, flow cytometry, and human cell culture. You are a team player with a balanced, positive attitude and a curious mindset. In a
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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electronic devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping
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the field. The project is a collaboration between Linköping University and Lund University and will be conducted within a dynamic and collaborative research environment. As a PhD student, you devote most
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generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional
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application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous robots Your work assignments The primary focus