Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Germany
- Portugal
- Norway
- Sweden
- Spain
- Belgium
- Italy
- Singapore
- Denmark
- Poland
- Switzerland
- Australia
- Ireland
- Canada
- Austria
- China
- Finland
- Japan
- Hong Kong
- Luxembourg
- United Arab Emirates
- Greece
- Morocco
- Brazil
- Croatia
- Cyprus
- Czech
- Europe
- Hungary
- India
- Lithuania
- New Zealand
- Romania
- Saudi Arabia
- Slovenia
- South Korea
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Environment
- Chemistry
- Earth Sciences
- Business
- Psychology
- Electrical Engineering
- Humanities
- Social Sciences
- Education
- Law
- Linguistics
- Philosophy
- Sports and Recreation
- Arts and Literature
- Physics
- 13 more »
- « less
-
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
-
geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory investigations and geochemical modelling. Specifically, you will: Characterise
-
, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
-
About us The UCL Bioinformatics Group is well-known for developing a widely-used suite of web-based tools based on a number of cutting edge protein structure prediction methods. Our web services
-
into these models. · Work with wet-lab biologists to design and implement appropriate experiments for collaborative work on model training, validation, and follow-up testing of predictions. · Explore
-
-Doctoral candidate to join our research team. Your research focus will be on the experimentation of real-time robust model predictive control schemes for induction welding. As a first step you will be
-
applicants will have the unique opportunity to work in an interdisciplinary team at UCC and abroad, participate in field trips to Lough Hyne, develop predictive and data-driven theoretical models for real
-
Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
-
and voltage-related tasks, to learn and predict voltages, branch flows/loadings, distribution factors and technical violations, and use the model as a fast surrogate within the hosting-capacity
-
of the system, including laboratory testing and/or in situ monitoring campaigns. •Proposing predictive maintenance strategies based on the collected data and developed models, w ith the aim of optimising