Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- Sweden
- United Kingdom
- France
- Germany
- United Arab Emirates
- Denmark
- Spain
- Netherlands
- China
- Hong Kong
- Portugal
- Australia
- Poland
- Romania
- Austria
- Canada
- Belgium
- Singapore
- Italy
- Lithuania
- Switzerland
- India
- Brazil
- Croatia
- Cyprus
- Czech
- Estonia
- Finland
- Ireland
- Japan
- Latvia
- Luxembourg
- New Zealand
- Slovenia
- 26 more »
- « less
-
Program
-
Field
-
intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
-
industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational
-
Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK
-
Benefits - A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social
-
data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
-
computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
-
interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills - An enthusiastic team of professionals to co-operate with - Personal
-
). The lab’s mission is to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer
-
(s) Number of offers available1Company/InstituteDepartment of Computer ScienceCountryNorwayCityGjøvikPostal Code2815StreetTeknologivegen 22Geofield Contact City Gjøvik Website http://www.ntnu.no Street
-
Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year