Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- France
- Spain
- Netherlands
- Sweden
- Australia
- Belgium
- Poland
- Canada
- Norway
- Denmark
- Finland
- United Arab Emirates
- Switzerland
- Austria
- Singapore
- Italy
- Czech
- Luxembourg
- Hong Kong
- Greece
- Japan
- Ireland
- Morocco
- Romania
- Brazil
- China
- Lithuania
- Malta
- Saudi Arabia
- Taiwan
- Croatia
- Cyprus
- India
- Latvia
- Mexico
- New Zealand
- Israel
- Malaysia
- Ukraine
- Worldwide
- 34 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Biology
- Economics
- Engineering
- Science
- Materials Science
- Mathematics
- Chemistry
- Business
- Arts and Literature
- Psychology
- Education
- Humanities
- Earth Sciences
- Environment
- Linguistics
- Social Sciences
- Physics
- Electrical Engineering
- Design
- Law
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
interested in candidates in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and
-
basis and allows trainee to work with advanced image processing software. Our equipment base includes most advanced Siemens MRI and CT systems including Dual Source CT technology as well as 1.5T and 3T
-
About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic
-
, Electrical/Computer Engineering, Biomedical Engineering, or related field with at least 4 years of relevant experience. Candidates with less experience will also be considered; Computer Vision & Image
-
the Biomedical Engineering Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum
-
, and is eager to take ownership of their role in building QIA's prototype quantum network. The successful applicant has a background in computer science, computer engineering or related fields, with
-
addition to the specialised facilities and resources within reNEW and BMI, reNEW researchers have access to the core facilities at the other reNEW nodes as well as at the Faculty of Health and Medical Sciences: https
-
: Sterilization Area: Control daily processing of student instruments (Autoclave/ Magnaclave) Quality Assurance (Spore testing, OSHA monitoring, etc.) Monitor/supervise student clinicians during clinic rotation in
-
of equal qualifications. https://www.cee.ed.tum.de/ccbe/ Prof. Dr.-Ing. André Borrmann Chair of Computing in Civil and Building Engineering Technical University of Munich Arcisstrasse 21, 80333 München
-
motivated and enthusiastic Lecturer in the field of Computer Science and Computer Graphics. We welcome applicants who have a computer science background but with a strong specialism in the field of computer