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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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equivalent knowledge in some other way, is required. More information about the general requirements can be found here . A student has special eligibility for doctoral studies in organic chemistry if s/he has
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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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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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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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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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. More information about us, please visit: the Department of Zoology . SciLifeLab is a national research infrastructure. In Stockholm, the SciLifeLab Campus Solna serves as an extra shared campus
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of