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; Advancing Wellbeing, Education and Quality of Life in Healthcare for a three-year fixed-term position to contribute to our Hybrid Intelligence (HI) Research Programme at the University of Oulu (Finland
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of Helsinki, is led by Associate Professor Vivek Sharma. The focus of research is on the structure and mechanism of proteins involved in biological energy (ATP) generation and mitochondrial function and
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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. The researcher will contribute to advancing methods and analyses in the BIOBANG project, which explores the relationships between indirect and direct drivers of biodiversity loss and investigates what conservation
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. Work collaboratively with the interdisciplinary research team to advance the BIOBANG project’s objectives. Contribute to the broader activities of the research group, including supervision of students
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driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks
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, propose experimental design to address them, and take advantage of the laboratory/research community’s intellectual and skill resources to advance the knowledge of the field. The competitive candidate
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understandings of how hope towards technology is constructed, circulated, and embedded in policy and institutional settings— and what kind of belief structure techno-optimism constitutes? Do you have strong
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integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks based on single-cell and spatial omics data, and (iii
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to uncover the cellular and molecular mechanisms driving disease development and progression. A key objective of our work is to develop advanced computational tools to dissect the role of alternative splicing