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, the extensive image information requires great accuracy and is therefore time-consuming. Today, detailed image information is collected from MRI and CT systems on a large scale in various cohort studies, often
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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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This position is part of the project VIRAL BRAIN (Viral Big-data Research on Acute Infectious Neuropsychiatric Complications). You will use extensive Swedish national registry data to examine the risk and
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of cardiovascular diseases. You will work independently to develop mechanistic models that describe dynamic processes of the microcirculation and analyze large data sets using statistics and deep learning
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cohorts. Duties The project combines single-cell, multi-omics data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD
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selection models that will be applied in ongoing domestication and plant breeding efforts. You will work with large genotypic and phenotypic datasets and apply biometric approaches on different selection
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analysis in complex datasets Experience with analysis and visualization of large data. Experience with omics data analysis (e.g. transcriptomics, metabolomics) Great emphasis will be placed on personal
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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and advanced causal inference methods to large-scale multi-omics datasets, national health registers, and other comprehensive health-related data sources. Duties The doctoral position is intended