Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- United Kingdom
- Denmark
- Germany
- Sweden
- Belgium
- France
- Netherlands
- Singapore
- Hong Kong
- China
- Australia
- Spain
- United Arab Emirates
- Poland
- Canada
- Luxembourg
- Portugal
- Cyprus
- Estonia
- Italy
- Latvia
- Czech
- Worldwide
- India
- Switzerland
- Austria
- Morocco
- Andorra
- Armenia
- Bulgaria
- Europe
- Greece
- Lithuania
- Mexico
- New Zealand
- Slovenia
- South Africa
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Science
- Biology
- Arts and Literature
- Mathematics
- Humanities
- Business
- Education
- Materials Science
- Environment
- Psychology
- Social Sciences
- Electrical Engineering
- Chemistry
- Earth Sciences
- Linguistics
- Design
- Sports and Recreation
- Law
- Physics
- Philosophy
- 14 more »
- « less
-
Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
-
. Candidates must have completed a terminal degree (PhD or equivalent) before starting. This is a unique 10-month, non-tenure track faculty position designed for scholars who wish to integrate research, teaching
-
Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
-
Scientist for the lab of Bret Freudenthal, PhD will work to study DNA damage as it relates to mechanisms of DNA repair, replication, genome stability, telomere biology, and ribonucleotides. The Senior
-
Preferred Qualifications The School of Music is committed to its 2030 Vision and core values, (https://sc.edu/study/colleges_schools/music/about/vision_page.php ) and to these five themes: 1) pursuing
-
, voids, delamination, corrosion, and internal structural discontinuities. The PhD candidate will investigate Vision Language Models (VLMs), Multi-modal AI solutions, and 3D scene reasoning approaches
-
funding and build (inter)national collaborations You will supervise and encourage Master students, PhD students and postdoctoral researchers. You will serve as a methodological and domain expert within
-
curriculum development activities; supervision of students (BSc, MSc, PhD) and development of the next generation; participation in national and international professional decision-making bodies and committees
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision