Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
-
process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
-
objective prediction of biological aging, but also the improvement of age-related phenotypes such as cognitive decline, muscle weakness, bone density loss, and kidney dysfunction. Our research is particularly
-
Research Analyst to lead and support the development, evaluation, and deployment of AI-based weather and climate models. The Senior Analyst will report to Professor Pedram Hassanzadeh, Faculty Director of AI
-
reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
-
Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
-
experiments. • Practical knowledge of process engineering, Power BI and Lean manufacturing. • Knowledge of fault prediction and machine maintenance in industrial settings (TPM) is desirable. • Fluency
-
genetic risk scores in independent datasets. Experience evaluating risk scores or prediction models, including assessment of diagnostic or predictive performance in biomedical data. Desirable Criteria
-
The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi
-
skills by providing high-performance perception, decision and control functionalities based on AI model outputs that are controlled to be dependable and trustworthy. The selected candidate will join the