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forms the basis of a significant translational programme with the university spanning several scientific research groups. A private foundation has given the university a sizable donation that has created
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to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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scientific experimentation, literature reviews, and research interviews Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Provide
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An exciting job with an important social mission An engaging scientific environment with a strong and international team Career guidance throughout the postdoctoral program and together with you we will prepare
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scientific experimentation and literature reviews Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Deal with problems that may affect
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative. Your group Petsalaki Group, in
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function as part of a multidisciplinary basic science and translational team, including laboratory investigators, clinical investigators, computational biologists and medical oncologists. The primary role
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the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data