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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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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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set of alternative ways of evaluating a particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm
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intelligence in general. The focus is broadly upon the development of numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as
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substantially equivalent knowledge in some other way. Candidates must be able to express themselves fluently in spoken and written English. The applicant should have a strong grasp of key concepts in evolutionary
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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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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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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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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment