Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Norway
- Germany
- Netherlands
- France
- Denmark
- Belgium
- Austria
- Hong Kong
- Singapore
- Australia
- Poland
- Spain
- Portugal
- Switzerland
- China
- Estonia
- United Arab Emirates
- Canada
- Cyprus
- Italy
- Luxembourg
- Czech
- Finland
- Barbados
- Brazil
- Europe
- Greece
- Iceland
- Ireland
- Japan
- Lithuania
- Morocco
- New Zealand
- Saudi Arabia
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Chemistry
- Humanities
- Materials Science
- Environment
- Earth Sciences
- Linguistics
- Arts and Literature
- Education
- Electrical Engineering
- Business
- Physics
- Social Sciences
- Law
- Sports and Recreation
- 12 more »
- « less
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
approaches, machine learning methods) to clinical, biological, and patient reported data. Collaborate with investigators to interpret findings, prepare manuscripts, and disseminate results through peer
-
. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
-
interdisciplinary team spanning statistics, machine learning, genetics, and population health. You will work closely with collaborators at the Nuffield Department of Population Health (NDPH), the Big Data Institute
-
within SCI and across other departments within Pitt, and initiatives like the $11.6M Western Pennsylvania Quantum Information Core (https://www.pitt.edu/pittwire/features-articles/pitt-investment-pa
-
. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine learning, and energy systems. The project will integrate real‑time
-
information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your
-
for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In