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. Proven experience in proteomics data analysis, including MALDI-TOF MS and LC-MS/MS. Proficiency in programming languages Python and/or R to develop scripts, pipelines and tools. Strong statistical and
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, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology). Advanced knowledge
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: • PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology
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working on an original research program. Topics include but are not limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph
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statistical genetics, strong quantitative (in silico) analysis skills using statistical programming packages such as R or similar, and experience working on computing clusters/computers running Linux based
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probably have knowledge of unix/linux platforms, and a high level of expertise of programming in R or another statistical language. The role would suit a new PhD graduate enthusiastic to develop
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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. OIST is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan which offers a 5-year PhD program and brings together outstanding researchers from across the country and
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology). Advanced knowledge of contemporary policy and research