Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Science
- Economics
- Materials Science
- Earth Sciences
- Business
- Mathematics
- Chemistry
- Electrical Engineering
- Linguistics
- Environment
- Arts and Literature
- Education
- Law
- Philosophy
- Physics
- Psychology
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
, displacement risk through gentrification, right to counsel, and pervasive institutional ownership of single-family homes. This work continues with the need for regulatory models, innovative financing strategies
-
characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
-
analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
-
computational models generate hypotheses and, with the help of partner labs, validate them in controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and
-
applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
-
interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating
-
of hormonal regulation of gene regulatory networks to predict mechanisms underlying stem cell patterning and plasticity in the shoot stem cell niche. A hybrid modelling approach integrating the dynamics of a
-
carbon materials by stereolithography, including experimental validation of predictive models and production of materials with controlled textural properties: a) Systematic bibliographic survey on 3D
-
, you will join an agile team composed of: • A PhD student in AI/Control: focused on anomaly detection in time series. • An MLOps Engineer: responsible for deployment and production of models