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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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with experimental biologists, clinicians, and data scientists. Design, test, and optimize data visualization tools for spatial and single-cell data. Contribute to manuscript preparation, conference
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Sweden and has with MemLab – the Industrial membrane process research and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is
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interaction between biotin and streptavidin can be used to achieve maximal signal-to-noise and detection of picomolar levels of protein in the blood. The laboratory’s part of the project is to test and optimize
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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to numerical analysis and optimization, as well as mathematical statistics and machine learning. The centre offers a lively academic environment where colleagues from many parts of the world come together
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you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running the beamline alongside
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and enzymatic transformation of a by-product of biofuel industry to valuable products. The duties include: Laboratory work on optimization of reaction conditions for microbial and enzyme catalysed
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hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties. An emerging frontier focuses on designing proteins that act as templates