Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Portugal
- Sweden
- United Kingdom
- Norway
- Singapore
- Spain
- Italy
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Canada
- Estonia
- Ireland
- China
- Austria
- Hong Kong
- Japan
- Worldwide
- Czech
- Finland
- Greece
- Morocco
- Switzerland
- Andorra
- Cyprus
- 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
- Materials Science
- Electrical Engineering
- Chemistry
- Earth Sciences
- Linguistics
- Humanities
- Business
- Physics
- Psychology
- Social Sciences
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
-
. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
-
position in the area of Security of Emerging Network and Networked Systems. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Computer Science Engineering research
-
within a Research Infrastructure? No Offer Description Mission: Provide support in the study and development of algorithmic and mathematical techniques to solve physical circuit synthesis problems in
-
developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
-
will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
-
will be involved in the development of MKID detectors. Close interaction with the teams involved in the AMINO project is also necessary in order to properly define the algorithms required for data
-
School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
-
description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
-
, funded by FAR 2024 UNIMORE linea FOMO, and aims to develop authenticity models through environmentally friendly analytical techniques combined with data processing and machine learning algorithms