29 high-performance-computing-"https:" Postdoctoral research jobs at Rutgers University
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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independent research projects, work closely with clinical collaborators, mentor students, and publish high-quality research each year. US work authorization is required. Essential duties and responsibilities
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. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and electrophoresis required. Experience in
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, make necessary calculations, presents results at national conferences, and publish the results on high impact journals. Develops own research project(s) under the guidance of the PI. Instructs and trains
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need publish research findings in journal and conferences
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high performance buildings and geothermal energy systems. (3) Assess technical and non-technical barriers to the adoption of renewable energy technologies, including geothermal energy. (4) Conduct
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-funded research projects, this position provides support in the operation of the research laboratory. The responsibilities will include preparation of human stem cell cultures from repository specimens
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Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as