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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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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
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced
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. The department has a yearly turnover of around SEK 550 million, out of which about two thirds derive from external funding. IGP has approximately 400 employees, out of which 100 are PhD-students, and there are in