15 numerical-optimization Postdoctoral positions at Rutgers University in United-State
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individuals with disabilities to perform essential functions. Overview The individual will conduct experimental research, maintain and optimize specialized instrumentation, and contribute to data analysis
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the autism macrocephaly phenotype and how cis-regulatory variants contribute to disease risk. Performs: the culturing and maintenance of numerous iPSC lines, the generation and maintenance of NPCs from
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis
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% 5. Present research findings at local and international conferences. LEVEL OF DECISION MAKING: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows
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and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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for screening hits and perform structure-activityrelationship studies Optimize the in vitro and in vivo pharmacokinetic properties of lead compounds Interpret structure activity relationship and structure
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Institute of Microbiology is looking for an individual that investigates powdery mildew resistance in hemp. Furthermore, the individual will also optimize a hemp transformation and genome editing platform
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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2