Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- France
- Norway
- Spain
- Netherlands
- Portugal
- Singapore
- Belgium
- Denmark
- United Arab Emirates
- Italy
- China
- Switzerland
- Luxembourg
- Australia
- Canada
- Finland
- Hong Kong
- Austria
- Poland
- Morocco
- Romania
- Ireland
- Estonia
- Japan
- Czech
- Lithuania
- Brazil
- Saudi Arabia
- Worldwide
- Cyprus
- Greece
- India
- South Africa
- Latvia
- Taiwan
- Andorra
- Malta
- New Zealand
- Armenia
- Croatia
- Israel
- Kenya
- Vietnam
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Mathematics
- Business
- Psychology
- Education
- Materials Science
- Arts and Literature
- Chemistry
- Earth Sciences
- Social Sciences
- Humanities
- Environment
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Law
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
details of 2-3 references to laura.cantini@pasteur.fr For more information : https://research.pasteur.fr/en/team/machine-learning-for-integrative-genomics/
-
DFT, beyond-DFT, and experimental techniques. We are also interested in developing both forward and inverse machine learning models to accelerate and optimize the design processes. We work in close
-
, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
-
None Additional Preferred Experience working in one or more of the following areas: Longitudinal data analysis Predictive modeling/machine learning models Biostatistics / epidemiological modeling
-
accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
-
analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
-
modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
-
The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning