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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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. 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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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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CMOS technologies. Well-versed in the end-to-end design flow, including circuit design, simulation, layout, PCB design, and measurement of integrated circuits using advanced CAD tools. Excellent
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embodied AI agents can dynamically adapt to group behaviors and learning needs The project will combine observational studies, interaction design, and experimental evaluations to develop embodied AI-driven
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flow, including circuit design, simulation, layout, PCB design, and measurement of integrated circuits using advanced CAD tools. Excellent communication skills and proficiency in both written and spoken
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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transcripts, both undergraduate and graduate. If the master’s degree is recent, the applicant must submit a Registrar's letter confirming that they have completed the degree. · A copy of your master's thesis
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also have experience with other molecular biology techniques, that is also seen as an advantage. You should also be meticulous, ambitious, solution-oriented and have a positive attitude. Extra weight and
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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