14 molecular-modeling-or-molecular-dynamic-simulation-"Prof" PhD positions at Linköping University in Sweden
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The Organic Nanoelectronics group, led by Prof. Simone Fabiano, at the Laboratory of Organic Electronics, Linköping University, is now seeking a highly motivated doctoral candidate to join the
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? Horizon 2020 Reference Number 853--1-27468 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Organic Nanoelectronics group, led by Prof. Simone Fabiano
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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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models all the way to the materials discovery lab. From the machine learning perspective, your research will be in the area of generative models, geometric machine learning, dynamical systems, and/or multi
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of Wnt Signaling using model organisms and/or organoids systems. Your workplace The position is located at the Division of Molecular Medicine and Virology (MMV) which is a part of the Department
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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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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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex