Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- France
- Norway
- Denmark
- Spain
- Portugal
- Belgium
- Australia
- United Arab Emirates
- Switzerland
- Poland
- Singapore
- Austria
- China
- Canada
- Hong Kong
- Luxembourg
- Finland
- Czech
- Vietnam
- Ireland
- Morocco
- Italy
- Romania
- Estonia
- India
- Andorra
- Brazil
- Croatia
- Cyprus
- Latvia
- Lithuania
- New Zealand
- South Africa
- Greece
- Slovenia
- Ukraine
- Chile
- Japan
- Saudi Arabia
- Armenia
- Bulgaria
- Hungary
- Indonesia
- Kenya
- Malta
- Qatar
- Taiwan
- Worldwide
- 43 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Chemistry
- Social Sciences
- Arts and Literature
- Business
- Psychology
- Education
- Humanities
- Materials Science
- Earth Sciences
- Electrical Engineering
- Environment
- Linguistics
- Law
- Physics
- Design
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
-
available1Company/InstituteFaculty of Mathematics and Computer ScienceCountryPolandGeofield Contact City Lodz Website http://iso.uni.lodz.pl/ Street Narutowicza 68 Postal Code 90-136 E-Mail sekretariat
-
development and simulation environments (e.g., Python, C++, ROS, MATLAB) We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
-
simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in
-
cameras, heart rate monitors, and dedicated activity trackers for data collection and employ relevant machine learning methods for data analysis and sensor fusion. The PhD Research Fellow will collaborate
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program involves the study of machine learning
-
. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
-
Job type: Principal Investigator Qualification: PhD Job duration: fixed 5-year term (can be extended for additional 4-years upon positive evaluation) Job hours: full-time Discipline: Life Sciences
-
adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
-
in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant