Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
entails infusing domain knowledge into ML methods to add specific context aiming to enhance performance. This project aims to explore the adaptation of KGML in health informatics, contributing to XAI
-
between process/system performance, reliability, energy and resource efficiency. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing
-
Method to analyze the single-photon source performance (PhD1). Optimize and propose new single-photon source designs overcoming these limitations to be fabricated by other PhD students (PhD1). Perform
-
tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top
-
that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
-
with variable temperature operation (2-350 °C). Perform nanoscale measurements of buried currents and magnetization in solid-state batteries using scanning NV magnetometers. You will work in a team and
-
theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
-
lead ASOs into the DTU-patented BioMATA biomaterial and perform characterization of formulation stability, release kinetics, and functionality over time. Participate in the development of a robust
-
that transform earth—currently disposed of in landfills at high environmental and economic cost—into high-performing and aesthetically pleasing structures. These innovative structures are characterized by a
-
controlled release. Using a combination of hydrological modelling and performance-based design, the project will develop and test prototypes of nature-based interventions. These prototypes will generate