Sort by
Refine Your Search
- 
                Listed
 - 
                Employer
 - 
                Field
 
- 
                
                
                
tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
 - 
                
                
                
focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
 - 
                
                
                
commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
 - 
                
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
 - 
                
                
                
. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between distinct brain regions, whereas effective connectivity
 - 
                
                
                
. Research Project & Objectives This PhD project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction
 - 
                
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
building and infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable
 - 
                
                
                
objective of this PhD position is to advance research in statistical signal processing and machine learning for microphone array data, with a focus on sensing under uncertainty. The successful candidate will
 - 
                
                
                
redundancy in brain signals elicited by acoustic stimuli. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between
 - 
                
                
                
validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and