44 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at SciLifeLab
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and includes both basic studies on disease causes and the development and evaluation of improved diagnostics and new treatment methods. More about the department’s activities can be found
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Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in
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. Additional qualifications Experience from providing support in image analysis to other researchers is meriting. Especially meriting is proficiency in using and developing algorithms and analysis pipelines
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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, biomolecular technology, biodiversity, drug development, and bioinformatics. A remarkable number of these groups are led by outstanding early-career scientists, including 21 SciLifeLab Fellows, 12 DDLS Fellows
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Lab (learn more at lab.winkler.site) at the Division of Micro- and Nanosystems. Our Lab develops microsystems for life science applications, including as part of the ERC-funded project CHIPzophrenia in
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts