Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Purdue University
- Cornell University
- The University of Iowa
- Nature Careers
- Rutgers University
- Wayne State University
- Brookhaven Lab
- Duke University
- Harvard University
- Johns Hopkins University
- University of Alabama at Birmingham
- University of Minnesota
- University of Minnesota Twin Cities
- University of Texas at El Paso
- 4 more »
- « less
-
Field
-
, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
-
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
-
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
-
optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization
-
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
-
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
-
, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
-
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