13 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" PhD positions at University of Twente (UT) in Netherlands
Sort by
Refine Your Search
-
trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
-
require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient numerical methods and strategies to solve the electromagnetic
-
to develop decision-support tools for AI adoption; A 4-year fully funded position, plus benefits, training, and career development opportunities; Supervised by experienced scholars, embedded in the HBE section
-
claims. The project will develop and test a Washing Detection Model to better understand when and why consumers are vulnerable to washing. In the second phase of the project, you will design and evaluate a
-
circular way can affect each other. While national strategies and missions give directions to address such grand societal challenges, local decisionmakers, such as municipalities and project developers, need
-
developing a clinically compliant wireless platform for navigated capsule endoscopy and lesion detection. The research will investigate novel strategies for magnetic navigation, real-time localization, and
-
of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure
-
new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence requirements in conflict zones and other
-
the SUN2CN project and develop next-generation solar-to-X devices that merge photovoltaics and electrochemistry for chemical production. As a PhD researcher, you will convert CO2 and nitrates from waste
-
advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with