Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- DTU Electro
- University of Southern Denmark
- Aalborg University
- Technical University Of Denmark
- University of Copenhagen
- Aalborg Universitet
- Danmarks Tekniske Universitet
- Nature Careers
- Aarhus University
- Technical University of Denmark (DTU)
- Technical University of Denmark - DTU
- 2 more »
- « less
-
Field
-
. The project focuses on identifying optimal cutting strategies for service crops as management interventions to enhance light, water, and nutrient use efficiency in cash crops. The main focus is on field
-
, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
-
at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
-
of millions of combinations of control parameters, determining the optimal values to maximize stability, efficiency, and dynamic performance. The ideal candidate will have experience or an interest in
-
-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
-
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
-
Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
-
the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
-
yourself with the tomographic 3D-printing process Characterize existing photo-initiators and photo-inhibitors with respect to spectral properties Optimize the choice to the two photo-initiators or the photo
-
algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory