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experience working with deep learning methods for biomedical applications. Academic and Project Excellence: Evidence of high-quality research work, as demonstrated by academic grades, the merit of prior degree
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interests, the project can take several directions. One option is to use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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of the student is of a person fully committed to forest economics research with foundational training in research methods. The candidate will be responsible for: integrating economics and natural resource
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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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future product owners and users is a key factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the