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candidate will work full time on the above outlined research project. It is expected that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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Do you want to contribute to groundbreaking research in the intersection of battery systems and data-driven optimization? This is an exciting opportunity for a postdoctoral position at the Division
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motivated candidate with: A PhD (or be close to completion in exceptional cases) in molecular biology, cell biology, biochemistry, or a related field. Strong theoretical background and extensive hands
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proteins from discs into supported membranes to make aligned protein arrays for biosensor development, also remains to be studied in detail. This project will optimize the experimental workflow
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; developing and optimizing doping protocols for conjugated polymers and other organic semiconductors; correlating materials chemistry and microstructure with electronic performance; implementing the resulting
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that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All work will be carried out embedded in a collaborative research team, requiring sharing