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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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passion for learning and a desire to work in a multidisciplinary and open team. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at Chalmers, you are
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environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
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engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description This PhD project focuses
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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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livable cities. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML
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build the sustainable companies and societies of the future. Take the opportunity to study for a PhD in a dynamic, international research environment in close collaboration with industry and leading
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We are looking for a PhD student to join our cutting-edge research in nanoelectronics for terahertz applications. You will explore advanced semiconductor devices and circuits, shaping the future
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Swedish. Place of work You will be based primarily at SLU in Umeå but will spend one fifth of your time at Skogforsk, primarily in Uppsala. Forms for funding or employment PhD position at SLU with 80% study