110 data "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
-
physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, quantum information. While this fellowship targets theorists
-
: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
-
staff. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30026 ). Qualified candidates should submit a short cover letter, curriculum vitae, contact information
-
on the CMS experiment at the CERN LHC . The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and high luminosity detector upgrades (HL
-
on available work, funding, and performance. Anticipated Division of Time 75% Research. Conduct quantitative and qualitative social science research and perform data analysis. 15% Publication and Presentation
-
collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
-
collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
-
research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and secondary data sources
-
Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science