Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Singapore
- Spain
- Netherlands
- Belgium
- Denmark
- United Arab Emirates
- China
- Italy
- Australia
- Canada
- Luxembourg
- Hong Kong
- Switzerland
- Austria
- Finland
- Czech
- Ireland
- Poland
- Estonia
- Japan
- Cyprus
- Latvia
- Brazil
- India
- Morocco
- Romania
- Saudi Arabia
- Lithuania
- South Africa
- Andorra
- Greece
- Taiwan
- Bulgaria
- Israel
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Arts and Literature
- Chemistry
- Social Sciences
- Humanities
- Earth Sciences
- Linguistics
- Environment
- Sports and Recreation
- Law
- Electrical Engineering
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
-
, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
-
/machine learning to expand the interdisciplinary faculty cluster on Translational Predictive Biology (CTPB). The selected faculty is expected to synergize with existing Translational Predictive Biology
-
focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
-
or reinforcement learning, and good programming skills in Matlab and/or Python. You will have completed an undergraduate degree or MSc in a quantitative discipline. The Humphries’ group (https://www.humphries
-
characteristics. Nominate and help evaluate promoter regions and candidate genes to enhance nitrogen use efficiency. Apply machine learning models to classify molecular variants as functional and assess
-
work on the molecular genetics of age-related hearing loss (https://www.grilletlab.com/). The Grillet lab has generated a mouse model carrying a polymorphism identified in Genome Wide Association Studies
-
multimodal generative AI for music/audio. Check out some of our recent projects here: https://dorienherremans.com/biblio (including work on models like Mustango, SonicMaster and other generative systems
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 29 days ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning
-
problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia