Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
-
, and phenotypic datasets into AI-ready resources, in collaboration with our data-management partners Develop, re-train, and fine-tune deep-learning models for predicting gene expression and transcription
-
-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
-
://profiles.wustl.edu/en/persons/jaebok-choi/ and https://oncology.wustl.edu/people/jaebok-choi-phd/ . Trains under the supervision of a faculty mentor including (but not limited to): Manages their own project, which
-
, which is also extended to practical studies, often in collaboration with different stakeholders within the field. This knowledge is transferred through the various programmes supported by the department
-
Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement learning in people
-
an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about
-
experimental background and a demonstrated interest in building new measurement platforms are especially encouraged to apply. The selected candidate will work in a highly collaborative research environment
-
candidate proteins will be applied in bio-assays using freshwater snails to test their bioactivity. These candidates will emerge from collaboration among the three post-docs on the project and will require
-
of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to