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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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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
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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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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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' resilience. Collaborate with interdisciplinary teams from academia and the aquaculture industry and contribute to large-scale lab and on-field fish experimental trials. Optimization and development
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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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different molecular and semiconductor materials. The project also includes optimizing and carrying on time-resolved photoemission electron microscopy (TR-PEEM) experiments on semiconductor and molecular
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education. Good knowledge of spoken and written English, and proven scientific experience is required. Documented knowledge and experience in machine learning, dynamical system theory, geometry, optimization