17 image-coding "https:" "UNIVERSITY OF BUCHAREST" Postdoctoral positions at UNIVERSITY OF HELSINKI
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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, functional perturbations, and rescue experiments. Experience in biochemical and/or histological profiling of cell- and tissue-specific phenotypes. Confocal microscopy and quantitative image analysis expertise
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within the research project “From Clay to Code: Investigating Microbial Evolution in Response to Human Influence” funded by the Helsinki Institute of Life Sciences (HiLIFE). The project aims to establish a
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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programming skills and interest in code development; Have excellent skills in spoken and written English; Research interests close to the project scope and prior experience of computational physics and/or
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ammonia. The applicant should: Hold a doctoral or master degree in relevant field such as physics or chemistry; Have good programming skills and interest in code development; Have excellent skills in
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the Department of Microbiology located in Viikki campus in Helsinki, Finland. Position description The successful candidate will work within the research project “From Clay to Code: Investigating Microbial
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the research environment: Faculty of Agriculture and Forestry, University of Helsinki https://www.helsinki.fi/en/faculty-agriculture-and-forestry Viikki Campus https://www.helsinki.fi/en/about-us
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, University of Helsinki https://www.helsinki.fi/en/faculty-agriculture-and-forestry Viikki Campus https://www.helsinki.fi/en/about-us/campuses/viikki-campus Careers at the University of Helsinki https
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical