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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
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with over 30,000 undergraduate, graduate, and professional students and more than 300,000 alumni worldwide. The position is in the Institute for Genomics and Evolutionary Medicine (iGEM), established
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and
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of Computer Science has internationally known research groups in a number of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation
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problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
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programming and evolutionary algorithms for scheduling. A high level of motivation and commitment to successfully completing your doctoral studies within the planned timeframe. Cooperative, team-oriented, and