109 phd-computational-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Rutgers University in United States
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Number 24FA1138 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires PhD in transportation engineering, industrial engineering, energy engineering, or
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, or qPCR. Utilize viral vector techniques to obtain cell-type specific neuronal gene transduction manipulations in vivo. Use specialized computer skills to analyze data, like Graphpad Prism, Pathfinder, and
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Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field. Experience in collecting and analyzing neurophysiological
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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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appointment, renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural
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: 258029 Minimum Education and Experience: Doctoral degree in Computer Science, Marketing, Economics, Statistics, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical
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also be expected to be highly collaborative and train and mentor undergraduates in scientific research projects. ESSENTIAL DUTIES & RESPONSIBILITIES INCLUDE: 1) Computer simulations of protein structure
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Date 05/21/2025 Posting Close Date 09/24/2025 Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, transportation engineering, or related engineering fields
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translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and
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genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by the Postdoctoral