Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
-
collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
-
and the Applied Plant Sciences graduate program. Pay and Benefits Pay Range: $63,000-$67,000 ; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates
-
relevant to ciliopathies and familiarity with approaches developed by the Lyon team (U-ExM). Where to apply E-mail crbs-rh@unistra.fr Requirements Research FieldMedical sciences » MedicineEducation LevelPhD
-
. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
-
tasks, in the Department of Civil, Environmental, and Geo- Engineering. The successful candidate will interact with, lead, and assist graduate and undergraduate students in the research group. 90
-
, and contribute to a growing research program aimed at rethinking how plant–microbiome interactions can support resilient agriculture in a changing climate. Outstanding U of A benefits include health
-
conferences and professional development opportunities 5% document and publish data and code Qualifications Required Qualifications: · PhD in hydrology, soil science, environmental engineering, or
-
Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials, synthesis, and additive manufacturing. Ames Laboratory is the leader
-
, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing