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) to invasive carcinoma (IC) and finally distant metastasis. However, only a few DCIS lesions progress to invasive breast cancer. Since underlying evolutionary processes are largely unknown, the biological and
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phenotypic characterization to investigate the effects of salt-induced cell clustering on the eco-evolutionary dynamics of various bacterial species and synthetic microbial communities. The genetic basis
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for doctoral studies, you must hold a Master’s (second-cycle) degree in Genetics, Microbiology, Evolutionary Biology or a related field, or have completed at least 240 credits in higher education, with at least
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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of numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as well as real robotic systems. Information about the project and the
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identify key enzymes in the cell wall biosynthesis and identify evolutionary paths. Biochemical analyses will highlight changes in the microalgal cell wall in response to stress. You will further investigate
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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
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education . Skills and personal qualities In addition to the aforementioned requirements for the position: A demonstrable computational competence, comfortable with using and developing algorithms, data