Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- United Arab Emirates
- Belgium
- Sweden
- Switzerland
- Norway
- Portugal
- Denmark
- Austria
- France
- Luxembourg
- Poland
- Australia
- Romania
- Greece
- Hong Kong
- Spain
- Canada
- Estonia
- Singapore
- Finland
- Malta
- Saudi Arabia
- Italy
- Andorra
- Brazil
- China
- Cyprus
- Taiwan
- 22 more »
- « less
-
Program
-
Field
-
position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Prof. Walter Karlen Location
-
member of a multidisciplinary research group working on the topic of Digital Twins for Smart Manufacturing Systems at KU Leuven under the supervision of Prof. Giovanni Lugaresi and Prof. Jef Peeters. You
-
. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
-
Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council
-
should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by a VICI NWO grant. Keywords Algorithmic bias, Causal Inference, Discrimination
-
: Prof. Walter Karlen Location: University of Ulm, Germany Duration: 3 years Start date: August 2026 at latest The PhD position is based at the Institute of Biomedical Engineering at the University of Ulm
-
adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel
-
project quotes based on defect inputs, and real-time supply chain performance, embedding decision-making algorithms and learning mechanisms into business operations, whilst moving away from manual and
-
Systems”. The objectives of this work consist of: (a) analyzing historical consumption data to identify patterns and guide the selection of suitable AI algorithms; (b) studying and applying advanced machine
-
), developing robust AI assessment algorithms, and conducting progressive field trials in collaboration with Malta's Cleansing and Maintenance Division (CMD) to validate system effectiveness across varied