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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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Unix/Linux environment. Additionally, the applicant must be at least familiar with R. Experience with mainstream machine learning and statistical methodologies. Experience with scientific code
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communication skills in both writing and speaking, in Swedish Master's or PhD with experience in machine learning, computer science, or bioinformatics. You are fearless and effective at adapting to new frameworks
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of the doctoral student The PhD project will aim at integrating single cell clonal, spatial and dissociated cell transcriptomics data for 3D neurodevelopmental reconstruction using a machine learning approach and
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collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked to the WISDOM project, an EU-funded initiative coordinated by the main
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us, and others, to learn the inner secrets of biological system at a significantly faster rate. The PhD student will need to actively contribute and innovate to the development of this technique and
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of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning methods and AI methods on large-scale data
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for a highly motivated individual with a solid background in nutrition and research experience in bioinformatics, particularly in single-cell data integration and machine learning. You should have an in
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. Skills and personal qualities You should have knowledge of programming, computer science, machine learning and basic understanding of biology. Du should have good skills in planning and documenting your
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, advanced behavioral methods, machine learning and eye tracking (simultaneously in two participants) will be used to identify cues that the brain uses to determine another person’s direction of covert