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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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are the following: Assists PI with epidemiological and complex bioinformatics data management and analysis in multi-omics microbiome research; conducts research processes and procedures in the PI laboratory. Assists
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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for excellence in routine and complex ophthalmic care. We have invested heavily in tracking our clinical outcomes and we are proud that our clinicians perform at the highest levels in their respective fields
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, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems, with an emphasis on measuring probe labeling and phenotype-driven cell selection using
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Job Description What We're Looking For Baylor University is seeking a full-time Postdoctoral Research Associate to support the mission and vison of the University within the Program for the Future
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Center for Advanced Infrastructure and Transportation
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discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain
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medicine through our discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease