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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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current focus areas are: Individualizing health trajectories of chronic kidney disease etiologies: exploring their association with health outcomes, beyond estimated glomerular filtration rate and
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
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The postdoctoral researcher will work with computer-based analytical methods and large databases to develop theory and methodology for utilising aggregated data from archaeology, genetics, and linguistics, thereby
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health outcomes, beyond estimated glomerular filtration rate and albuminuria levels. Risk-based clinical decision support: Developing tools and frameworks to guide decisions using individualized risk
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(starting date flexible). We develop state-of-the-art computational methods and take a leading role in our field. The successful candidate can therefore expect to contribute at the international forefront
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Demonstrated research expertise related to real-time computer graphics programming
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in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods
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bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
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’ environments, raising concerns about their ability to evolve fast enough to avoid extinction. Whether species will persist or disappear is often unclear as existing methods to predict contemporary evolution work