Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- Belgium
- Denmark
- Italy
- Singapore
- Australia
- Finland
- Morocco
- Ireland
- Luxembourg
- Switzerland
- Canada
- China
- Poland
- Czech
- Austria
- Japan
- Estonia
- Hong Kong
- Brazil
- United Arab Emirates
- Vietnam
- Andorra
- Macau
- Malta
- Saudi Arabia
- Slovakia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Humanities
- Arts and Literature
- Psychology
- Law
- Linguistics
- Physics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
. Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch
-
skills in generative models applied to the design of bioactive peptides, with a strong focus on integrating these methods into the IA4Farma ecosystem. The work will include collecting and preparing peptide
-
, wearable devices, and human movement. The ideal candidate will demonstrate experience conducting interdisciplinary research with healthy or clinical populations that applies AI models to predict relevant
-
models trained on the Year 1 dataset to predict promising compositions. The third year focuses on application and physical metallurgy insights, where the student will apply the refined methodology to a
-
-learning (ML)- driven and physics-based computational workflows to screen large molecular libraries, predict key electrochemical and physicochemical properties, and deliver ranked shortlists of high[1
-
Hospitality performance and revenue optimization Tourism analytics and predictive modeling Sustainable tourism and community engagement Technology, AI, and smart destinations Indianapolis provides a living
-
/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and
-
forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
families that may differentiate thermotolerant Arctic algae from strict cryophiles. Particular focus may be made here on closely-related polar members of the model green algal species Chlamydomonas that have
-
techniques for analyzing data collected from hardware sensors installed on electrospindles and the development of models for calculating the spindle’s remaining useful life. The contractor will explore topics