132 data-visualization-analysis-"https:" Postdoctoral positions at Pennsylvania State University
Sort by
Refine Your Search
-
. 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
-
the following materials: 1. A cover letter outlining their background and research interests 2. Curriculum vitae (CV) 3. Names and contact information for 2-3 references Applications are accepted online at https
-
required. The successful candidate will have a strong foundation in bioinformatics, biological data analysis, data integration, or systems-level analysis of molecular and cellular biology data. Candidates
-
activities including growing plants in the greenhouse, making pollinator observations, and quantifying floral traits (morphology, volatiles, pollen, nectar). Data analysis skills include knowledge
-
. 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
-
interest in the position, a CV including publication list, and names & contact information of up to three references. Please see http://ecec.me.psu.edu for more details on the Electrochemical Engine Center
-
. 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
-
SPECIFICS Come and help define how large-scale genomic data analysis is done from a web browser. We are a friendly, ambitious research group at the Pennsylvania State University working on some of the most
-
research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and