Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Spain
- Portugal
- France
- Singapore
- Norway
- Denmark
- United Arab Emirates
- Belgium
- Switzerland
- China
- Finland
- Italy
- Poland
- Australia
- Canada
- Luxembourg
- Austria
- Hong Kong
- Morocco
- Vietnam
- Ireland
- Romania
- Czech
- Japan
- Estonia
- Greece
- Brazil
- Cyprus
- Saudi Arabia
- Croatia
- Lithuania
- Andorra
- India
- South Africa
- Taiwan
- Latvia
- Malta
- New Zealand
- Slovenia
- Worldwide
- Hungary
- Israel
- Kenya
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Earth Sciences
- Arts and Literature
- Chemistry
- Environment
- Social Sciences
- Humanities
- Linguistics
- Electrical Engineering
- Law
- Sports and Recreation
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
-
(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
-
teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
-
highly interdisciplinary setting combining microbial mutagenesis assays, mammalian cancer models, next-generation sequencing, bioinformatics, and machine learning. Experimental data will be integrated with
-
/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
-
experience with DFT codes will be very highly valued. • Knowledge of chemical reactions and how to model them through computer simulations is highly valued. • Knowledge of classical molecular dynamics
-
the development, training, and validation of computer vision models is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems Qualifications
-
descriptors to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and
-
Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 6 days ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI
-
UPOs PhD enrolment: Université Paris Cité DC15: Hybrid machine learning models for data-driven bioprocess optimisation PhD enrolment: University of Padua Eligibility Requirements: Doctoral Candidates