Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Germany
- Spain
- Singapore
- Belgium
- China
- Italy
- Canada
- Austria
- Australia
- Denmark
- Netherlands
- Poland
- Portugal
- United Arab Emirates
- Cyprus
- Czech
- Hong Kong
- India
- Ireland
- Luxembourg
- Japan
- Latvia
- Lithuania
- Switzerland
- Finland
- Greece
- Saudi Arabia
- Andorra
- Bulgaria
- South Africa
- Armenia
- Barbados
- Europe
- Malta
- Mexico
- Morocco
- Norway
- Taiwan
- 32 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Business
- Science
- Education
- Psychology
- Mathematics
- Materials Science
- Arts and Literature
- Social Sciences
- Humanities
- Sports and Recreation
- Chemistry
- Environment
- Linguistics
- Electrical Engineering
- Law
- Earth Sciences
- Physics
- Design
- Philosophy
- 14 more »
- « less
-
time scales. To do this, we will build on a landscape picture of stochastic gene expression dynamics inferred from data using modern machine learning techniques. The results will inform us about how
-
includes both conceptual development and empirical validation. We are looking for a candidate with a background in machine learning or data science and strong software engineering skills. The Ph.D. position
-
mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation: Architect and deploy machine learning and computer vision models directly onto onboard edge devices (e.g
-
Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
-
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
-
engineering? Then this professor position might be for you. We are looking for a new professor to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian
-
software for aerospace precision machining — you will develop physics-informed machine learning models that learn how individual machines actually behave, and use those models to drive a genuinely
-
learning models on wearable electronic circuits, devices, and platforms, with particular emphasis on smart eyewear. The research activities will address multiple application domains, including embedded
-
collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at
-
adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning