Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Italy
- Belgium
- Spain
- Australia
- Netherlands
- Portugal
- Romania
- Singapore
- Canada
- China
- Finland
- Denmark
- Hong Kong
- Ireland
- Luxembourg
- Poland
- Andorra
- Austria
- Japan
- Macau
- Switzerland
- Barbados
- Czech
- Estonia
- Lithuania
- Malta
- Morocco
- Norway
- Saudi Arabia
- United Arab Emirates
- 25 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Business
- Mathematics
- Environment
- Chemistry
- Earth Sciences
- Law
- Linguistics
- Sports and Recreation
- Arts and Literature
- Humanities
- Physics
- Psychology
- Electrical Engineering
- Social Sciences
- Education
- 12 more »
- « less
-
-supervised by Dirkjan Schokker Where to apply Website https://www.academictransfer.com/en/jobs/358086/phd-ai-models-to-identify-disea… Requirements Specific Requirements You are an accurate, structured, and
-
polygenic risk scores, rare variant burden scores, and integrative prediction models. Evaluate model performance and clinical utility. Identify therapeutic targets and causal risk factors for cardiovascular
-
learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
-
predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop
-
-Preserving Federated Learning: Establishing secure, decentralised architectures for training predictive models on sensitive medical and industrial datasets without compromising data integrity. Propelled by
-
exchangers (HX) for optimizing thermal storage in silos. The researcher will deploy conjugate heat transfer CFD models and conduct simulations to provide high-fidelity predictions of available power, charging
-
, size-dependent properties prediction, mis-linkage between what occurs at the nanoscale and bulk scale, and transient NB dynamics associated with shockwave penetration, as well as the difficulties
-
Parent Programs Posting Number P260042 Posting Link https://www.ubjobs.buffalo.edu/postings/61345 Employer State Position Type UUP Professional Professional Appointment Term Term Salary Grade SL5 Posting
-
other machine learning models. Generate and evaluate hydrologic hindcasts and forecasts to assess model fidelity, forecast reliability, and predictive skill across subseasonal to annual time scales
-
and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance