Sort by
Refine Your Search
-
, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
-
will be given to candidates with strong expertise in foundational research on robotics, machine learning algorithms, optimization, and statistics. As a major department with an enrollment of about 1,500
-
develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
-
algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
-
whole genome comparisons to connect genetic variation to phenotypes relevant to disease susceptibility/resistance, morphology, and reproduction. Biomedical genomics: Individuals leveraging comparisons
-
are particularly seeking individuals with research experience in any of the following four thematic areas: Vertebrate/Arthropod genomics. Individuals using whole genome comparisons to connect genetic variation
-
place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
-
. The anticipated start date is August 01, 2026. The Department of Entomology at Texas A&M University – renowned for its strength in arthropod behavior, chemical ecology, physiology and nutrition, genetics, immunity
-
academic appointment. The position will support pre-clinical curriculum needs in areas such as Gross Anatomy, Histology, Neuroanatomy, Genetics, and/or Microbiology. The anticipated start date is Summer 2026
-
to genetic evaluation of traditional and emerging novel traits, evaluation of selection strategies for diverse production environments, development of genetic/genomic indices as components of multidisciplinary