Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- France
- Norway
- Denmark
- Spain
- Belgium
- Portugal
- Australia
- Switzerland
- United Arab Emirates
- Poland
- Singapore
- Austria
- China
- Canada
- Hong Kong
- Luxembourg
- Finland
- Czech
- Vietnam
- Ireland
- Morocco
- Italy
- Romania
- Estonia
- India
- Cyprus
- Latvia
- Andorra
- Croatia
- Lithuania
- New Zealand
- South Africa
- Brazil
- Greece
- Slovenia
- Ukraine
- Chile
- Japan
- Saudi Arabia
- Armenia
- Bulgaria
- Hungary
- Indonesia
- Israel
- Kenya
- Malta
- Qatar
- Taiwan
- Worldwide
- 44 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Social Sciences
- Arts and Literature
- Business
- Education
- Psychology
- Humanities
- Materials Science
- Earth Sciences
- Electrical Engineering
- Environment
- Linguistics
- Law
- Design
- Physics
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
. 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
-
(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
-
should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural
-
of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
-
expected to prepare project reports and co-author research papers. The ideal candidate is expected to be working towards a PhD in Computer Engineering, Computer Science, Computer Systems Engineering
-
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
-
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
-
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
-
group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
-
analysis and machine learning, to quantify different types of horse behaviour. Stress evaluation will be performed by analysing biomarkers, specifically cortisol concentrations in faecal samples collected