Sort by
Refine Your Search
-
, prosecution, and sentencing, access to data and opportunity to develop relationships and opportunities for research collaboration with Penn State faculty. The CJRC (https://cjrc.la.psu.edu ) has an outstanding
-
-based experiments, culture assays and molecular work, multi-omics techniques, and establishing bioinformatic pipelines for data analysis. The ideal candidate will demonstrate the ability to integrate
-
describing research interests and experience, a curriculum vitae, and contact information for three professional references at https://hr.psu.edu/careers . This position will be located at The Pennsylvania
-
transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
-
. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
-
. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
-
considered for this position or if you need more information, please contact Dr. Xiaofeng Liu ([email protected]) . Dr. Liu’s research group webpage: http://water.engr.psu.edu/liu/ . BACKGROUND CHECKS/CLEARANCES
-
. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
-
., instrument design, data collection, and analysis) Conduct analyses of learning processes and outcomes, including interaction, discourse, and artifact-based analyses Collaboration and Mentoring Work across a
-
. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES data sets or other large-scale