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, or other similar circumstances as well as clinical attachment or service/assignments relevant to the subject area. In the appointment process, special attention will be given to research skills within
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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. The project explores the role of tumor-promoting inflammation in cancer progression through bioinformatics-driven, machine-learning and multi-omics analyses integrated with experimental data. Ideal candidates
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part of an ERC starting grant and involves studying the impact of disease on endosomal properties and the processing of lipid nanoparticles. Key techniques will include omics, cell culture and small
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relevant to the subject area. In the appointment process, special attention will be given to research skills. We are looking for candidates with wet-lab expertise in RNA biology and next-generation
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of organisms, and how these processes respond to environmental changes. Recent advancements in plant and animal physiology have been accelerated by the use of novel single-cell and tissue analysis techniques
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group The Department of Molecular Medicine and Surgery (MMK) and the research groups of Vascular Surgery and Clinical Physiology are looking for a curious and highly motivated Ph.D. student to join Dr
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular