68 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Rutgers University
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programs Posting Summary Prof. Kaelber is recruiting a “dry lab” scientist for methods development in evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary
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composites and develop science; and engineering methods for designing, scaling, optimizing and controlling relevant manufacturing processes. These positions will be based at the Rutgers’ School of Engineering
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, geography, urban informatics, or a similar field with suitable analytic skills to conduct transportation analysis. The ability to conduct qualitative research and organize and run focus groups is essential
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neurons using multi-omics, cis-regulatory variants will be mapped onto these enhancers and then their function determined by Massively Parallel Reporter Assays (MPRA). The research will involve stem cell
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Biomedicine, home to several experts in cryoEM and in molecular dynamics. The building is shared with the RCSB Protein Data Bank(PDB). Prof. Kaelber also directs the Rutgers New Jersey Cryo-electron Microscopy
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Requirement. Any inquiries should be directed to Prof. Joanne B. Ciulla jciulla@business.rutgers.edu . Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings
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are essential. · Record of peer-reviewed publications Certifications/Licenses Required Knowledge, Skills, and Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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, or related biomedical fields, and an interest in applying interdisciplinary research methods to the study of aging and Alzheimer’s disease prevention. The position is renewable and the anticipated start date
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a