57 bayesian-object-detection PhD scholarships at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
. Responsibilities and qualifications The first objective of the project is to advance the field of continuous fiber-reinforced additive manufacturing through the development, testing, and optimization of composite 3D
-
the tomographic 3D printing methods. All parts of the object we want to produce are cured simultaneously. We are exploring the benefits of use two (or more) wavelength of light to achieve higher resolution
-
systems. In particular, you will work on minimizing interference introduced by various hardware and channel limitations. The objective is to maximize the secure key rate and transmission distance, subject
-
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
-
on academic qualifications, research potential, and their ability to contribute to both the scientific and industrial objectives of the project. We offer DTU is a leading technical university globally
-
the project from conception through to publication, ensuring adherence to scientific and funding objectives. Student Supervision: Guide and support students' research, promoting their academic growth and
-
of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in
-
developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments. Publishing research findings in leading international
-
Job Description A 3-year PhD fellowship in catalytic biomass valorization is available in the Nielsen group at DTU Chemistry. If you find it interesting to combine studies in homogeneous and
-
than undesired routes. Solvent and additive effects will further be explored based on mechanistic insights. Your work thus will strengthen the detection and optimization of sustainable chemistry