Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI
-
, we aim to create autonomous “self-driving” microscopes that: build statistical models of biological dynamics in real time predict the most informative next experiment execute it automatically on living
-
projects on our Epic electronic health record platform. You will focus on integrating AI and predictive models into the Epic platform, enacting and facilitating standardized intake, design, and
-
interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
-
system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative
-
. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238), funded by Comunidad de Madrid and
-
to predict pKa values of payloads using tabulated steric and electronic descriptors. Synthesize novel PABA-derived linkers and prepare conjugates using model compounds. Measure pKa and release behaviour
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
-
on creating new formulations, improving drug delivery strategies, and developing predictive models to accelerate the clinical translation of LATs. The role will focus on the formulation of LATs based
-
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 7 days ago
associated. with neurodegeneration or ischaemic heart disease. Predicting optimised regenerative response. Developing and validating predictive biomarkers, personalized interventions, and AI-driven models with