Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Portugal
- Netherlands
- Sweden
- France
- Spain
- Denmark
- Singapore
- Belgium
- United Arab Emirates
- Italy
- Austria
- Poland
- Norway
- Finland
- Romania
- Australia
- Morocco
- China
- Luxembourg
- Switzerland
- Canada
- Hong Kong
- Japan
- Greece
- Brazil
- Croatia
- Cyprus
- Czech
- Malta
- Saudi Arabia
- Taiwan
- Bulgaria
- Ireland
- Israel
- Lithuania
- Andorra
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 34 more »
- « less
-
Program
-
Field
-
research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across
-
simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
-
the relevant field of study or possession of equivalent experience. Artificial Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu
-
annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
-
algorithms that allow robots to refine their control strategies based on observed human behaviour. Collaboration: The project will benefit from extending existing collaborations between the University
-
to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
-
group is searching for a Research scientist position focused on iterative phase reconstruction algorithms and analysis of time-resolved coherent diffractive imaging datasets. Job description We
-
two distinct images from a single PET acquisition. Within this project, we will jointly develop, adapt and implement advanced image reconstruction algorithms in our in-house reconstruction software
-
algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic
-
or equivalent research experience in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and