-
tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
-
behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
-
for carbohydrate characterization, such as Mass Spectrometry (MS) for oligosaccharides and polysaccharides, linkage analysis, substitution patterns, and molecular weight determination, is preferred. Candidates
-
peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
-
Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
-
join Dr. Kelleher’s Neurodevelopmental Family Lab. This team includes over 30 members, including postdocs, graduate students, undergraduates, and staff who work together to facilitate research
-
mutational scanning. Basic qualifications: -Applicant should have, or expect to complete within a year, a Ph.D. in genetics, molecular biology, evolutionary biology, or a related field. -Demonstrated interest
-
. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
-
molecular biology, biochemistry, systems biology, evolutionary biology, or a related field, an interest in evolutionary biology and systems biology, an interest in learning/implementing new ‘omics techniques
-
independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling