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of neurodegenerative movement disorders. Experience with cell culture and molecular biology methods, as well as bioinformatics (R, etc.) are required; Programming skills in different languages (Matlab, R) and experience
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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into hours, scale evidence review across thousands of studies, and explore many hypotheses in parallel so researchers and clinicians can focus on strategic decisions and patient care. Every solution you build
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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to validate the effects of candidate variants, such as CRISPR-based gene editing or RNA-seq to assess gene expression changes, and linking these findings to clinical phenotypes. • Examining Differences in
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. Additional Knowledge and Professional Experience Experience with high-performance computing (HPC) environments and parallel programming (e.g., MPI, OpenMP). Experience with the management and analysis of large
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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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