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group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms
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methods to understand the regulatory mechanisms driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal
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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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for a fixed-term. The position will be filled for a 2-year term starting at the earliest convenience. Our mission The lab's mission is to unravel fundamental mechanisms that control the elongation phase
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and machine learning tools, primarily in Python, Web/Cloud Services and NoSQL/SQL database (MongoDB/Postgres). Additional experience in R, JavaScript, ReactJS, Mechanical Turk would be advantageous but
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of the project is to reveal conditions essential for the operation of uropathogenic E. coli’s (UPEC) adjustable metabolic machinery and to identify potential cues to guide novel therapeutic interventions
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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
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data, omics technologies, as well as novel computational approaches to uncover the cellular and molecular mechanisms driving disease development and progression. A key objective of our work is to develop
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metabolic machinery and to identify potential cues to guide novel therapeutic interventions. The successful candidate will contribute to the fundamental understanding of how metabolic adaptation of UPEC