Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- Netherlands
- France
- Sweden
- Spain
- Belgium
- Denmark
- Norway
- Italy
- Singapore
- Australia
- Finland
- Morocco
- Switzerland
- Czech
- Poland
- China
- United Arab Emirates
- Ireland
- Canada
- Austria
- Romania
- Luxembourg
- Estonia
- Japan
- Brazil
- Hong Kong
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Hungary
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Psychology
- Humanities
- Linguistics
- Arts and Literature
- Electrical Engineering
- Law
- Physics
- Social Sciences
- Education
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
-
quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
-
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
-
on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
-
that precede symptoms. You integrate MRI-derived features with biological and clinical markers to improve disease-progression models and early prediction. Would you like to know more about the different phases
-
to combine high-throughput metabolomics with 3D cell culture models Perform large chemical and genetic studies in cancer cell lines derived spheroids Develop predictive model of drug response by comparing 2D
-
controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
-
analytics, predictive modeling, and related fields. We welcome applicants committed to addressing complex challenges in sport analytics, tourism analytics, human performance, and related fields. Candidates
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
research on the integration of Digital Twins with AI/ML technologies for infrastructure lifecycle management. Develop and validate computational models for monitoring and predicting infrastructure
-
. · Experience working in a community college setting. · Experience with predictive modeling and machine learning techniques. · Supervisory experience Operation of a State Vehicle Yes Supervises Employees