93 postdoc-computational-fluid-dynamics-2017 PhD scholarships at Technical University of Denmark
Sort by
Refine Your Search
-
materials built by covalent linking of monomers, supramolecular polymers are dynamic and formed by the self-assembly of monomeric units brought together by non-covalent interactions. The connections between
-
to help revolutionizing the future of food safety practice, one that’s safer, smarter, and quicker? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team in
-
. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
-
CAT3D, a five-year Villum Young Investigator project that fully funds this PhD position, along with two postdoc positions, we will tackle this grand challenge by fabricating and studying electrocatalysts
-
to DTU’s PhD programme can be found here while the details for the enrolment and admission to DTU’s PhD programme are available here Solid background in Structural Dynamics, Finite Element Modelling and
-
/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
-
) technology with innovative biomaterial systems and cell therapy approaches. The successful candidate will join a dynamic research team with extensive expertise in RNA biology, drug delivery, and translational
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Jesper Hattel and Associate Professor Chris
-
vulnerable citizens. You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading technical universities. DTU is committed to innovation, societal impact, and diversity
-
with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal