73 computational-geometry-phd Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
-
facilities in European Universities. You will be working with a group of professionals in photonic integrated circuits, optical phased array, optical communications, optical computing, electronic circuits
-
are looking for candidates with: A PhD in electrical engineering, biomedical engineering, physics, or a related field Strong programming skills in LabVIEW and C++, with experience in real-time control systems
-
project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
-
highly collaborative effort, internally within experimental groups at DTU and externally with other leading universities. CatTheory has a strong infrastructure and computational facility. Responsibilities
-
research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
-
analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
-
the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within
-
involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced
-
: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated