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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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expression and ultimate ecomorphological outcomes significantly parallel. As a next step, it is vital to dig more deeply into the molecular mechanisms driving these patterns. This project will examine
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
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, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
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metabolic disease, including type 2 diabetes (T2D), Non-alcoholic fatty liver disease (NAFLD) and obesity, collectively referred to as metabolic syndrome (MetS), has occurred in parallel with a global decline
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controls almost every cellular process in humans, including targeting poorly folded proteins for destruction to prevent them harming the cell. When ubiquitin signalling goes wrong, many different disease
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pathogenic variants and represent novel therapeutic targets, respectively. To this end, we will perform cutting-edge proteomics analyses on post-mortem human retinal tissues and use bioinformatics and deep