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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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. 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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environmental modeling to understand how changing redox conditions (such as hypoxia and re-oxygenation) influence the behavior of actinides like plutonium (Pu) and americium (Am) in sediment and seawater. You
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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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and research. By developing systematic process descriptions, open manuals, and pedagogical models, knowledge transfer in real time will be made possible, ensuring that results can quickly be applied in
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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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the transition towards more regenerative and adaptable furniture systems. Results will be shared through publications, demonstrator projects, and educational models, strengthening the link between research
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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