Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Portugal
- Spain
- Norway
- France
- Singapore
- Australia
- United Arab Emirates
- Denmark
- Poland
- Canada
- Belgium
- Switzerland
- Austria
- Finland
- Hong Kong
- China
- Italy
- Ireland
- Luxembourg
- Romania
- Czech
- Estonia
- Morocco
- Cyprus
- Japan
- Vietnam
- Greece
- Brazil
- Croatia
- Latvia
- Lithuania
- South Africa
- India
- Kyrgyzstan
- Russia
- Saudi Arabia
- Andorra
- New Zealand
- Slovenia
- Ukraine
- Worldwide
- Armenia
- Kenya
- 38 more »
- « less
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Engineering
- Business
- Education
- Biology
- Science
- Materials Science
- Arts and Literature
- Psychology
- Mathematics
- Social Sciences
- Humanities
- Law
- Linguistics
- Chemistry
- Sports and Recreation
- Electrical Engineering
- Physics
- Earth Sciences
- Environment
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
-
accordance with FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered
-
design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
-
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
-
foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in
-
VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is to study
-
of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both
-
current nursing-specific clinical policies, procedures, and expectations. •Develop engaging clinical assignments aligned with students’ knowledge, skill competency, and learning needs. •Provide documented
-
conversations that increase the depth of knowledge. Instructional Design: The incumbent will engage in instructional design by: Utilizing a literature review and selected standards will craft meaningful learning
-
. Ability to learn and apply complex policies quickly, including admissions, financial aid, and military education procedures. Demonstrated ability to build positive professional relationships with diverse