123 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" Postdoctoral research jobs at Rutgers University in United States
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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is developed and presented. In addition, this position will require the ability to manage, document, and organize multiple simultaneous projects. Preferred Qualifications Equipment Utilized Physical
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degree in statistics, computer science, or a related field. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work
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desirable. Experience with microbiology (cell culture and molecular genetics), transcriptomics, protein expression and purification and structural analysis are advantageous. Equipment Utilized Physical
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Title: Northeast Climate Integrated Modeling: Defining biological references and setting catch advice in a dynamic
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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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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communicate in English to sufficiently 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. Must
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microscopy. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special
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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