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mathematician (doctoral student). Karlsson’s group is part of the Division of Optimization and Systems Theory within the Department of Mathematics at KTH. Currently, a large focus of the group is to develop
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dynamical systems theory, including differential equations, simulation techniques, state-space and input-output representations, time-delay embedding, and/or time series analysis from experimental data
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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understanding of how the genetic code specifies binding rates and affinities for interacting molecules. Despite the significance of these interactions, quantitatively predicting binding from nucleotide or protein
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to your office to focus on your code. You may end the day taking some time for fitness activity, at the campus gym or the nearby forest. Two times per year, you will have the opportunity to meet the
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dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral student will develop methods to broadly study patterns of codon usage across organisms and apply large scale
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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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at the forefront of several research areas and generated multiple spin-off companies also located at Medicon Village. You will be part of a research team dedicated to developing precision medicine tools for cancer
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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct