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What we are looking for The BioMed X Institute is establishing a new, fully funded research group at its new XSeed Labs incubator on the R&D campus of Servier in Paris-Saclay, France, hosted
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science skills. Large datasets comprising up to many millions of data points are compiled, cleaned, processed, analyzed and interpreted using Python and R. Many tasks are performed using Princeton's high
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pipelines for models using the necessary programming languages (primarily R, Python, SQL). • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices
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outline your general research interests. The position will remain open until it is filled. Selected Publications: 1) R. Kürsten, J. Mihatsch, T. Ihle, Emergent flocking in mixtures of antialigning self
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projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: A PhD in Computer
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researchers involved in security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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to detail; Have knowledge of computer applications, e.g. MS Office Suite/Office 365, GraphPad Prism, Python and/or R programming 3.2 Experience : One year (or more) of relevant laboratory research