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the Rutgers High Performance Computing infrastructure. The results of the research will be submitted for publication in a scientific journal. Preferred Qualifications Equipment Utilized Physical Demands and
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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
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, and microscopy/imaging. A qualified candidate will be capable of working independently to perform lab work in this area, but also manages, trains, and schedules hourly student workers and undergraduate
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, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently to perform lab work in this area, but also manages, trains, and schedules hourly student workers
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of multiple monitors, high-performance computers, and specialized software. Extended periods of sitting at desks or workstations equipment. Occasional lifting of equipment (typically under 25 lbs). He/She
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required
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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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-based treatments in the community. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will