Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Norway
- Netherlands
- Belgium
- Denmark
- France
- Portugal
- Singapore
- Spain
- United Arab Emirates
- Australia
- China
- Switzerland
- Hong Kong
- Luxembourg
- Poland
- Canada
- Italy
- Austria
- Czech
- Estonia
- Finland
- Ireland
- Cyprus
- Lithuania
- Romania
- South Africa
- New Zealand
- Andorra
- Brazil
- Latvia
- Saudi Arabia
- Armenia
- Greece
- India
- Bulgaria
- Croatia
- Europe
- Iceland
- Israel
- Japan
- Kenya
- Malta
- Vietnam
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Science
- Economics
- Mathematics
- Chemistry
- Materials Science
- Arts and Literature
- Electrical Engineering
- Education
- Business
- Humanities
- Linguistics
- Environment
- Social Sciences
- Earth Sciences
- Psychology
- Design
- Sports and Recreation
- Physics
- Law
- Philosophy
- 14 more »
- « less
-
Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
-
dissemination, and translational opportunities Job Requirements: PhD in Chemistry with a focus on computational/peptide/organic/machine learning or a closely related discipline At least one first-author
-
for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
-
(target journals: International Journal for Numerical Methods in Engineering – IJNME). Deep learning algorithms for high-temperature multiphase problems (target journals: Computer Methods in Applied
-
approaches for modeling biosystems andanalyzing biotech datasets. A core technology employed by the center’s researchers is deep machine learning, which supports the creation of innovative concepts
-
knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
-
the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
-
Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
-
Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
-
, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will