Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Purdue University
- Cornell University
- Michigan State University
- New York University
- The Ohio State University
- The University of Iowa
- University of Minnesota
- Wayne State University
- Brookhaven Lab
- Brookhaven National Laboratory
- Duke University
- Harvard University
- Johns Hopkins University
- Rice University
- Rutgers University
- The University of Chicago
- University of Alabama at Birmingham
- University of California, Los Angeles
- University of Massachusetts Medical School
- University of Texas at El Paso
- 10 more »
- « less
 
- 
                Field
- 
                
                
                interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates 
- 
                
                
                Strong analytical and problem-solving skills. Proficiency in data analysis software (e.g., R, Excel). Excellent written and verbal communication skills. Ability to work independently and as part of a team 
- 
                
                
                The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc 
- 
                
                
                such spectra. There is an option to also work on the CMS experiment for a fraction of the time, and/or detector R&D for future colliders. On the CMS side, the Purdue group has extensive involvement in many 
- 
                
                
                for an outstanding, passionate and driven postdoctoral research associate to work on the CMS experiment, and detector R&D for future colliders. The Purdue CMS group has extensive involvement in many aspects of CMS 
- 
                
                
                the position  Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R  Excellent written, verbal, and interpersonal communication skills 
- 
                
                
                or equivalent experience in a research-intensive environment such as a university, national laboratory, or industry R&D. Hands-on experience with advanced semiconductor research infrastructure (e.g., cleanroom 
- 
                
                
                of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization 
- 
                
                
                longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming 
- 
                
                
                of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven Laboratory is committed