Sort by
Refine Your Search
-
, laboratory testing and data augmentation. Your main goal will be to develop predictive models for assessing the degradability of bioplastics, facilitating a transition to more sustainable materials. More
-
innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
-
vitro and in vivo models of immunology Experience with mRNA-based vaccines and adjuvant formulation Capable of handling a multifaceted project with many stakeholders and collaborators You are expected
-
collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
-
primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
-
science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
-
engineering, operational research and energy systems modelling through dedicated courses and/or related work. The following further qualifications will be considered in the assessment: Strong background and
-
. Responsibilities and qualifications Conduct original research on AWES flow environment, control systems, & simulation. Develop & validate AWES models for flight dynamics and energy harvesting efficiency. Participate
-
mechanics, advanced material models and extreme deformations. Responsibilities and qualifications The project involves extensive development and implementation of numerical algorithms for skin mechanics and
-
world-class results together. You will be involved in strengthening the Bioconversions group competences within anaerobic mixed cultures design, bioprocess modelling and valorisation. You will work with