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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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immunological assays are developed and conducted, and The Biomedical Laboratory at SDU, which houses state-of-the-art small- and large animal facilities. The postdoc will join the group of Professor T. E
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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in spoken and written English. Additional desirable qualifications Some experience with 'Big Data' or another complex data organization project will be preferred but not required if advanced coding
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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Anders Ståhlberg’s research group at Sahlgrenska Center Research for Cancer. Our long-term goal is early cancer detection and to personalize the treatment of each patient. Additional information about the
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large