51 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
-
-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
-
models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel
-
on innovative projects exploring receptor-specific contributions to behavior and circuit function. Work Performed • Conduct stereotaxic surgeries and pharmacological manipulations in mouse models. • Perform
-
, work will involve the evaluation and modeling of plastic fragmentation and additive release from plastics as well as life cycle assessment of materials processing. Candidates should have a doctoral
-
restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
-
tools, high-throughput screening, and human induced pluripotent stem cells (hiPSCs) to model different cell types, phenotypes, and disorders. We are looking for a highly motivated and talented candidate
-
and health, either with a background in population health analyses or laboratory research experience in molecular toxicology assays based on the zebrafish model. PROJECTED START DATE: The position is
-
research. Interests and/or background in Arctic research, hydrological modeling, surface water fieldwork, community engagement, and/or spatial statistics are also a plus. PROJECTED START DATE There is
-
interested in applicants that have experience in one or more of the following areas: satellite remote sensing, energy balance modeling, and machine learning. In addition to scientific expertise, the successful