Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- Sweden
- Spain
- France
- Australia
- Denmark
- Norway
- Austria
- Singapore
- United Arab Emirates
- Belgium
- Portugal
- Switzerland
- Ireland
- Canada
- China
- Morocco
- Finland
- Luxembourg
- Czech
- Poland
- Italy
- Romania
- South Africa
- Hong Kong
- India
- Armenia
- Brazil
- Lithuania
- New Zealand
- Vietnam
- 24 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Business
- Mathematics
- Social Sciences
- Earth Sciences
- Arts and Literature
- Education
- Linguistics
- Chemistry
- Psychology
- Environment
- Electrical Engineering
- Humanities
- Materials Science
- Philosophy
- Physics
- Law
- Sports and Recreation
- 13 more »
- « less
-
of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
-
/mediation, high-dimensional data analysis, time series or sequential modeling, or deep learning for structured data. • Highly motivated to learn new technologies, willing to acquire domain knowledge, and
-
Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
-
optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
-
is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical
-
excellence within the School of Engineering, with a strong focus on Computational Geomechanics and industry-engaged research translation. This role is suited to a senior academic who combines deep technical
-
) Develop AI‑driven model calibration by designing a deep‑learning pipeline mapping data extracted from experiments onto force fields and use these predictions to initialise Cytosim simulations. (3) Use
-
networks for deep learning on dynamic graphs. arXiv preprint. Trantas et al (2023). Digital twin challenges in biodiversity modelling. Ecological Informatics. Borowiec et al (2022). Deep learning as a tool
-
communicate the results of your research verbally and in writing, Teach courses at Chalmers' undergraduate level, performing teaching duties corresponding to 20% of working hours, Design and implement deep
-
. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network