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Field
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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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and optimization techniques, this research aims to identify optimum design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize
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the flexibility of DCS will be investigated. Multi-objective optimization, focusing on techno-economic optimization under varying levels of renewable energy penetration will be employed. To assess the impact of
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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photocatalytic degradation of Per- and Polyfluoroalkyl Substances (PFAS) with optimized COFs Look for necessary collaborations with internal or external collaborators (e.g. theoretical modelling and advanced
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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synthetic chemistry and reaction optimization. A working knowledge of molecular biology and/or protein generation. For information about the (lab) at Genentech and publications, please go to: https
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environments. Collaborate with multidisciplinary teams to optimize material–device interfaces and sensor architecture. Assist in the prototyping of sensor devices and contribute to the optimization
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- 1st September 2025 Languages English Norsk Bokmål English English Do you want to research work scheduling using artificial intelligence? PhD Fellowship in AI-Based Shift Scheduling: Optimization