Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- Poland
- Denmark
- United Kingdom
- France
- Norway
- Sweden
- Luxembourg
- Germany
- Belgium
- Croatia
- Netherlands
- Canada
- Spain
- Australia
- Singapore
- Austria
- Italy
- Worldwide
- Finland
- United Arab Emirates
- Czech
- Greece
- Latvia
- Switzerland
- China
- Andorra
- Armenia
- Cyprus
- Estonia
- Hong Kong
- Ireland
- Japan
- Lithuania
- New Zealand
- Saudi Arabia
- Slovenia
- South Africa
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Biology
- Science
- Mathematics
- Law
- Materials Science
- Education
- Chemistry
- Social Sciences
- Business
- Environment
- Arts and Literature
- Linguistics
- Psychology
- Electrical Engineering
- Humanities
- Philosophy
- Earth Sciences
- Sports and Recreation
- Design
- Physics
- 14 more »
- « less
-
). The indicative research theme includes, but is not limited to, natural language understanding and generation, multilingual and low-resource language technologies, human-centred and explainable AI methods
-
coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
-
higher education institution, it must comply with the provisions of Decree-Law no. 66/2018 of 16th August, and all formalities established therein must be complied with at the signature of Fellowship
-
the tender notice. The final decision on hiring is the responsibility of the top manager of the hiring entity. 14. Formalization of applications: 14.1. Applications must be formalized at http://www.fe.up.pt
-
employing advanced theoretical models and sophisticated experimental methods. Key properties of atomic and molecular anions and their interactions with other particles will be investigated to fully describe
-
development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
-
analysis, developing methodologies for association analysis and applying graph-based methods to study microbial interactions at cellular and molecular level. You will closely collaborate with microbial
-
/or equivalent combination of experience/training At least 2 years of recent supervisory/formal lead experience in a health care setting At least 5 years of recent experience in an outpatient clinic
-
dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
-
evacuation routes. 9 - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento