43 computational-physics "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
, United States of America [map ] Subject Areas: Human Centered Design Public Health Architecture Urban Planning Computer Science Salary Range: $62,232 to $88,745 Appl Deadline: 2025/12/01 11:59PM (posted 2025/11/05
-
, United States of America [map ] Subject Areas: Energy Sustainability / Sustainability Molecular Biology / Synthetic Biology Physics / Chemistry Appl Deadline: 2026/01/31 11:59PM (posted 2025/10/16, listed until 2026/01
-
health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
-
for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
-
Management. The intended start date of this position is January 15, 2025. The position will be based in Ithaca, NY. The MIXTAPE (Monitoring Impacts for Technology Adoption and Program Engagement in Bangladesh
-
of Biological and Environmental Engineering at Cornell University is looking for postdoctoral associate to support, lead and invent projects at the intersection of sustainable energy, synthetic biology, physics
-
computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
-
Engineering and Computer Science Epidemiology (more...) Microbiology Materials Science and Engineering Atmospheric Sciences Civil and Environmental Engineering Health Food Science Plant Science Biochemistry
-
] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
-
, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts