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optimization or machine learning. It is a plus if you are already an independent researcher or are growing into one. Therefore, you are required to submit a research statement where you describe not only your
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and working tasks The connection between optimization and machine learning is at the heart of many recent breakthroughs in artificial intelligence and autonomous systems. Many machine learning
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the problem is explicitly considered. In particular, it will investigate how to tightly integrate state-of-the-art sampling-based methods with state-of-the-art methods from numerical optimal control in a
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description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries
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successful candidate should have practical experience with metabarcoding of aquatic samples, experience in DNA extraction from challenging samples and PCR optimization. Further, the candidate should possess a
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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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to test various adjustments in the indoor diet in order to alleviate metabolic challenges during transition to pasture. The aim is to optimize pasture utilisation and milk production in part-time
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, network components etc.) and local development servers. The project’s overall goal is the development of new software technology for the development, synthesis, optimization, deployment and orchestration
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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