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The Faculty of Veterinary Medicine invites applications for the following position: ASSISTANT PROFESSOR / ASSOCIATE PROFESSOR / PROFESSOR OF VETERINARY DIAGNOSTIC IMAGING (in Finnish
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intelligence. The project also aims to expand this modelling framework for spatially continuous forecasting by combining information from satellite images and species communities. Methodological research is
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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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of Helsinki, Finland, and at the global forefront of life science research with state-of-the-art research core facilities in genomics, biological imaging and structural biology. According to the 2024 Times
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). We are seeking a highly motivated researcher to join our team. We use a wide range of molecular, cellular, transcriptomic, and advanced imaging techniques, in combination with ex vivo and in vivo
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cytometry, cell biology, metabolic assays, imaging and next generation sequencing to understand the molecular mechanisms involved in the regulation of immune cell function. The researcher (position 1) will
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doctors, statisticians, biologists, lawyers) Independent problem-solving attitude combined with meticulous mindset in an environment that requires understanding both the big picture and attention to detail
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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microbiology, computer science, or bioinformatics (or a related field). Prior experience in R and coding is expected. Experience in analysing high-throughput sequencing data is a bonus. Excellent communication
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related field. Experience in organic synthetic chemistry. Basic programming skills in Python or advanced knowledge in another programming language that enables coding in Python. Strong problem-solving