Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Germany
- Sweden
- Belgium
- China
- Poland
- Austria
- Canada
- Australia
- Spain
- Denmark
- Netherlands
- Hong Kong
- Singapore
- United Arab Emirates
- India
- Italy
- Czech
- Portugal
- Latvia
- South Africa
- Andorra
- Ireland
- Luxembourg
- Lithuania
- Bulgaria
- Croatia
- Cyprus
- Estonia
- Armenia
- New Zealand
- Norway
- Saudi Arabia
- Switzerland
- Barbados
- Europe
- Greece
- Japan
- Malta
- Morocco
- Qatar
- Slovenia
- Worldwide
- 35 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Business
- Arts and Literature
- Social Sciences
- Education
- Psychology
- Chemistry
- Humanities
- Linguistics
- Electrical Engineering
- Materials Science
- Environment
- Design
- Physics
- Earth Sciences
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-scale (~10’s of km2) permafrost thermo-hydrological hybrid twin, to be coupled with state-of-the-art freezing/thawing soil mechanics machine learning-based surrogate models (Richa et al., 2024, Tristani
-
, speaking); French is a plus but not mandatory. - Strong background in ecology. - Experience with statistical analysis using R; interest in machine learning is an asset. - Prior experience with one or more of
-
in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning
-
Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering
-
for renewal for an additional term based on institutional needs. Visiting Lecturers carry a 5-5 teaching load. We seek to hire a candidate with strong teaching credentials to teach our introductory course in
-
of computational methods that enable machines to perform tasks requiring perception, learning, reasoning, and decision-making. It encompasses core areas such as machine learning, data-driven modeling, intelligent
-
intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
-
the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
-
, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
-
Machine Learning & AI Spring semester: (beginning of January through mid-May) Python Programming for Data Science General Linear Models Deep Learning & AI The Tutor role will include the following