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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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. 2. Personalized prognostic models of time to loss of independence. 3. Identification of characteristics associated with ATT initiation to optimize referral pathways. 4. Real-world ATT outcomes
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing
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Position Description The Laboratory for Extreme Multi-Messenger Astrophysics (LEMMA, https://www.queensu.ca/physics/lemma/ ) at Queen’s University at Kingston invites applications for a postdoctoral
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experiments, etc. Perform data collection and analysis Test, optimize, troubleshoot new and existing methods and techniques, and update protocols Prepare and maintain biological stocks Maintain proper lab and
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets