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-based models to predict cognitive decline in patients with cognitive impairment. The role emphasises computational and statistical methodologies to analyse multimodal data, enabling early detection and
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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transitions , Quantum transport in low-dimensional systems , Quantum Transport in topological phases , Solid State Physics , spin-orbit coupling , Statistical Mechanics , Statistical physics , Strongly
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for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
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concentration, statistics and economic history. Reporting to Prof. Facundo Alvaredo, you will have a specific focus on estimating, analysing, and interpreting historical series of top income shares, top wealth
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial