Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Job Description Are you driven by the idea of creating a more sustainable future through groundbreaking research? Do you want to work in a collaborative environment where your contributions can
-
PhD Scholarship in Biodiversity changes of marine flora and fauna associated with ecosystem resto...
at the University of Southern Denmark. The candidate must be able to communicate the research results in Danish to the broader public. Application deadline: 18 June 2025 at 23:59 hours local Danish time Please see
-
computer science. Interactive theorem provers. Category theory (for computer science). Fluency in English is required. Application deadline: 18 June 2025 at 23:59 hours local Danish time Please see the full call
-
research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
-
conferences. You will work in close collaboration with a group of senior scientists, technicians as well as Post Docs and PhDs all engaged in the Villum Investigator project MicroAM. A 3–6-month foreign stay
-
to determine the molecular structure and function of a TZ sub-complex consisting of 3-5 proteins. You will monitor the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by
-
and custom processors. Work description Investigate SSM representations compatible with spiking dynamics Investigate the usage of SSM along with sensor devices. Design digital/analog building blocks
-
. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
-
of research in organic chemistry. You will work alongside highly skilled and motivated group members in an enthusiastic and goal-oriented atmosphere. We welcome talent from all over the world. The project will
-
. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and