Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Business
- Earth Sciences
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Social Sciences
- Arts and Literature
- Education
- Law
- Physics
- Psychology
- Philosophy
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
controlling binder placement inside a granular packing: coating grains before compaction requires extensive mixing, while saturating then desaturating is binder-intensive and hard to control. Binding foams
-
the effects of extreme heat and cold exposure on health outcomes in people with multimorbidity, using a combination of population-based data analysis and controlled experimental approaches. The project will
-
The advertised doctoral position will be carried out at the University of Pisa (https://www.unipi.it/ ; https://www.biologia.unipi.it/) with the most of the research work carried out at the International Centre
-
Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research group is
-
particle clustering and morphology affect strain localization and damage evolution. Integrate experiments and modelling to create predictive tools for recycled alloy performance. Your immediate leader is
-
Familiarity with cleaning and managing large datasets. Strong writing skills. Preferred Qualifications Statistical skills applying artificial intelligence and data science for societal benefit in predictive
-
policies and procures within and between units and other teams Gathers relevant information and feedback, compare and contrast data, identify relationships and predict and manage failures is critical
-
within the broader context of Industry 4.0 and is part of an ongoing initiative to enable predictive diagnostics for electrical machines. The research The increasing need for predictive maintenance in
-
machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
-
educates University employees, HDCS customers and stakeholders about relevant compliance requirements, trends, industry best practices and loss control/injury and illness prevention solutions. Financial