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Field
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-cognition, exposome and neuroimaging data. Under the supervision of Professor Agustín Ibáñez, the Fellow will contribute to harmonisation international datasets and developing multimodal statistical and
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of
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for the position: You hold (or expect to shortly receive) a PhD in computer science, statistics, mathematics or a related field. You have previous experience in information technology, preferably demonstrated by a
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' bioinformatics experience in functional genomics, multi-omics, comparative genomics or statistical genomics. Demonstrate strong scripting skills using Python, R and Linux-based HPC or cloud environments for large
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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and decision science), engineering, environmental studies, public health, statistics/data science, economics, or a related discipline. PhD must be conferred before time of appointment. Experience
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
experimental design and statistical analysis tools. Proven track record of high-quality publications in reputable venues. Excellent communication and collaboration skills, with the ability to work effectively in
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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and content analysis methods Applying statistical and computational techniques to analyse large-scale textual datasets Contributing to peer-reviewed journal articles and conference presentations
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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health