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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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educational system in Sweden or abroad are also eligible. Qualifications For this employment we expect you to have an academic background in Plant or Structural Biology, Chemistry, (Bio)physics or a related
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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Engineering (UML, SysML, metamodels) usage to model the major data modeling languages. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence
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degree or international equivalence. Of the 60hp at advanced level, 30hp must constitute an approved degree project. Your degree must have been completed no later than the time the employment decision is
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the employment decision is made. The ability to write and communicate in English is a requirement. The work will be conducted in collaboration with other researchers and industry partners, making the ability
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
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Further information Employment as a PhD student is limited to 4 years, with an extension of a maximum of one year for teaching and other department duties. Placement: Luleå. Starting: Autumn 2025