Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Sweden
- Portugal
- United Kingdom
- Singapore
- Norway
- Spain
- Netherlands
- Belgium
- Italy
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Canada
- Estonia
- Ireland
- Austria
- China
- Hong Kong
- Japan
- Worldwide
- Finland
- Greece
- Morocco
- Switzerland
- Andorra
- Cyprus
- Czech
- India
- Malta
- Saudi Arabia
- Slovakia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Chemistry
- Materials Science
- Earth Sciences
- Linguistics
- Humanities
- Business
- Physics
- Psychology
- Social Sciences
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
developing prototype systems and algorithms • Experience with MRI and/or fMRI data (human data preferred) • Experience with high resolution and high field MRI and/or fMRI • Excellent verbal and written
-
in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
-
Doctoral Candidates (DC1 and DC2) to carry out research in neuromorphic photonic-electronic integrated circuits for brain-inspired information processing and sensing (DC1) and in the development of efficient
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
transmission of information and energy, systems theory, and computational hardware and software. ECE students are encouraged to develop synergies with disciplines outside of engineering. The candidate should
-
, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
-
by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
-
of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
-
in LIBS systems.; • Develop algorithms for correction and compensation of galvanometric scanning, ensuring accurate spatial correspondence of LIBS data.; • Implement automated pipelines for LIBS data