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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory
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Program for Data-Driven Life Science (DDLS ) and the student joins its research program . Supervision: Associate Professor Hossein Azizpour What we offer Admission requirements To be admitted
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relies on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University. The PhD position is within the Data-driven life science (DDLS) Research
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programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic chemistry. More information about us, please visit: the Department
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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a research staff of 180, of which 65 are PhD students. Read more about MBW at the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) . Data-driven life science (DDLS) uses data
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techniques coupled to high resolving mass spectrometry for molecular characterization, using tandem mass spectrometry and reactive chemistry, quantification, and data analysis, including statistics. Variations
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computational scientists – both nationally and internationally. In addition, the doctoral student will be part of the data-driven life science initiative. The data-driven life science initiative Data-driven life
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acquired substantially equivalent knowledge in some other way, more information about the general requirements can be found here . Special eligibility to doctoral studies in Analytical Chemistry requires