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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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, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
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with the NBIS Data Management unit, you will play a key role in developing and implementing data management to meet future needs within data-driven Life Science research. More information about NBIS can be found
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creating inclusive environments. Flexible and Supportive: Tailored training and career development designed to balance professional growth with personal commitments. State-ot-the-art Research: Engage in
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/andras-gorzsas/ ). Project description The research project concerns method development linked to a cutting-edge OPTIR-Raman instrument and its application in life sciences. This technique is very recently
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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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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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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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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communicate on a daily basis with the Head of Unit and Lab Manager. You will also actively participate in technology development with regards to analytical methods and application of workflows to user projects