13 finite-element-methods PhD positions at University of Amsterdam (UvA) in Netherlands
Sort by
Refine Your Search
-
with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
-
understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
-
methods, and/or retrieval tasks is advantageous but not required. What we offer We offer a temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of
-
of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to invent, develop and evaluate novel methods for pre-training and fine-tuning of perceptual foundation
-
backgrounds and an interest in political science and human geography. We are looking for a candidate with training in qualitative research methods such as ethnographic fieldwork and policy analysis. Candidates
-
-occurring signals using phospho-proteomics. Proteins that are potential hubs of signal integration will be characterized through molecular- and biochemical methods. Using microfluidics coupled with advanced
-
research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data
-
properties on the structures underlying quantum computations. A main component of the project will be using the ZX-calculus, a graphical language for reasoning more intuitively about quantum processes. As PhD
-
what extent and how misinformation impacts these at-risk individuals. Subsequently, we develop and test new intervention methods that strive to increase resilience against misinformation among those who
-
health, by applying state of the art systems methods to develop an innovative personalized just-in-time context-triggered digital intervention that addresses craving for nicotine in urban environments