Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Portugal
- France
- Spain
- Netherlands
- Sweden
- Australia
- Belgium
- Canada
- Poland
- Norway
- Denmark
- Singapore
- Finland
- Switzerland
- United Arab Emirates
- Austria
- Italy
- Czech
- Ireland
- Luxembourg
- Hong Kong
- Japan
- Greece
- Morocco
- Romania
- China
- New Zealand
- Saudi Arabia
- Brazil
- Lithuania
- Malta
- Taiwan
- Cyprus
- Estonia
- India
- Latvia
- Mexico
- Croatia
- Israel
- Malaysia
- Ukraine
- Vietnam
- Worldwide
- 36 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Biology
- Engineering
- Science
- Arts and Literature
- Business
- Materials Science
- Mathematics
- Chemistry
- Psychology
- Education
- Humanities
- Environment
- Earth Sciences
- Physics
- Linguistics
- Social Sciences
- Design
- Electrical Engineering
- Law
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Synthetic Data: A Solution to Medical Imaging Limitations Where
-
surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity and all qualified applicants
-
. Computer proficiency is essential, including familiarity with collection management systems and image-editing software. Outstanding written and verbal communication skills. Skilled in assessing the physical
-
HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
-
, editing intents, and real-world conditions. The project will leverage advances in deep learning, multimodal representation learning, reinforcement learning, and image/video processing to develop novel
-
to the unmixing problem. First valorization of the methods via submissions to top journals and conferences in AI/ML or image processing. • Months 18-30: Investigation of various applications and other types
-
. The Sharma lab is developing rationally designed, smart, clinically translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and
-
gut hormone receptor drug discovery programme. The successful candidate will help lead on in vitro pharmacology and in vivo testing and will also be involved in peptide ligand design process alongside
-
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
-
requirements when taking panoramic and/or cephalometric films. Checks quality of image and reviews with provider before re taking an image, to minimize exposure to radiation. Takes digital photographs as