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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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in electric vehicle applications. Scientifically, the following parts will be included in the research: a) Fabrication and optimization of large-scale hBN films of high quality with high in-plane
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evaluation frameworks and/or the development of energy system optimization models. The research is applied and closely linked to industrial interests and needs. About the research Our research aims to provide
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and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
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the applicant: - For the dissertation and the subject relevant knowledge and skills, for example demonstrated strong background knowledge at advanced level especially related to automatic control, optimization
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proteins, significantly advancing our ability to refine and optimize spinning methods beyond what was previously possible. Now, we seek a talented research assistant to help create the world's first
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. The work is performed in connection to two ongoing research projects “Probabilistic multiscale modelling of the macroscopic crack growth behavior in heterogeneous materials” and “Optimized Digitalization
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having resided in the country of the host institution for more than 12 months in the last 36 months). Mandatory: Master’s degree in Systems Engineering, Control, Optimization, or related field. Strong