35 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions in Finland
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that currently suffer from observation gaps. By filling the observation gaps, we obtain a database essential to disentangle source and transport processes of SEPs and shed light on the underlying SEP acceleration
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related to staff position within a Research Infrastructure? No Offer Description Aalto University is where science and art meet technology and business. We shape a sustainable future by making research
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/researchgroups/nuclear-organization-by-actin) . We are seeking a motivated researcher to join our team in the field of cell and molecular biology. By combining advanced imaging techniques with functional genomics
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on the recruitment process and Aalto more generally) About Aalto University / Aalto Computer Science Aalto University is a community of bold thinkers where science and art meet technology and business. We are
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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morphology imaging, and spatial transcriptomics—to identify altered cell states and mis-patterning events. The aim is to integrate computational and experimental approaches, including validation in vivo
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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the
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breeding procedures for testing hypotheses arising from the analyses. Are you a technology wizard, determined to apply your skills in something that really matters? Or, alternatively, you have a solid
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include one or more of the following: Characterization and gene editing of cancer organoid cultures Use of genetically engineered mouse models to understand microbial adaptations Analyzing the cancer