Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Belgium
- United Kingdom
- Portugal
- United Arab Emirates
- Luxembourg
- Norway
- Singapore
- Sweden
- Netherlands
- Australia
- Spain
- Poland
- China
- Canada
- Hong Kong
- Italy
- Romania
- Switzerland
- Austria
- Denmark
- Ireland
- Japan
- Vietnam
- Andorra
- Brazil
- Czech
- Finland
- Greece
- India
- Israel
- Morocco
- Saudi Arabia
- Slovenia
- Worldwide
- 27 more »
- « less
-
Program
-
Field
-
Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
-
responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
-
data. 2. Ability to enter data and update graphs using a computer program. 3. Ability to communicate effectively in both verbal and written form. 4. Ability to remain calm and patient during challenging
-
, documentation, and reproducible experiments suitable for internal adoption and MSc thesis work. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https
-
, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
-
with expertise in Combinatorics and Graph Theory. DEPARTMENT: The mathematics program at Otterbein is unique in that mathematics majors begin, in their first semester, a study of advanced calculus and
-
of groups that are of interest in the context of rigidity, group cohomology, noncommutative geometry and index theory, harmonic analysis on groups, expander graphs and high-dimensional expanders. Required
-
software systems Well-developed analytical skills and corresponding ability to summarize results in charts, graphs, and reports. Demonstrated professionalism, sensitivity, and discretion in handling
-
knowledge graphs, rules, and process understanding, with implications across sectors from ecology to infrastructure. 4. Theme 4 (“Communities”): Green and Resilient Communities and Entrepreneurship
-
graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department