Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Materials Science
- Mathematics
- Chemistry
- Earth Sciences
- Environment
- Psychology
- Education
- Arts and Literature
- Social Sciences
- Electrical Engineering
- Humanities
- Law
- Linguistics
- Philosophy
- Sports and Recreation
- Design
- 13 more »
- « less
-
Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and
-
innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and
-
Job Code: 260916 Job Offer from September 16, 2026 The Carl-Zeiss-Stiftung group for co-evolutionary modelling of the coupled human-earth system at the MPI of Geoanthropology is looking for a
-
at the HOME RATE ONLY. International students and EU students without Settled Status will need to cover the difference between the home and the international fee rates. Visas and associated costs are not
-
Are you an experienced programme manager who thrives on bringing order to complexity? We have an exciting opportunity within the University of Sheffield's IT Services for someone who's driven by
-
Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and
-
. Project description Data-driven mathematical and statistical models are increasingly used in life science research and healthcare. Quantifying the uncertainty associated with these models is crucial
-
predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
-
disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real
-
to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of