Sort by
Refine Your Search
-
Employer
-
Field
-
practice. Fieldwork and collaboration opportunities in the project's pilot countries – Greece, Italy and Cyprus. Access to state-of-the-art research facilities and computing resources. Who we
-
to the other phases of the research process, including in-person consumer testing of final prototypes, and to support the assessment of market trends, entry potential and societal positioning of fermented plant
-
three sectors across two countries. Utilize process-tracing methodologies to analyze to what extent inflow of migrant labour and proliferation of deviant business practices are related. Conduct and
-
, Computational Physics, or similar. Who we are We are an interdisciplinary team working primarily with the development of numerical models for hydrodynamics. Current projects involve the model development
-
environmental science, physics, chemistry, mathematics, engineering or similar. You need to demonstrate experience with collaboration and presenting works at international conferences and leading manuscripts
-
, model-based input, or similar) An interest in ability-based design, tailorability, or multimodal interaction Experience with physical computing, haptic devices, or novel input is an advantage but not
-
interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
-
the Niels Bohr Institute. It functions as a primary center for fundamental research including theoretical and computational astrophysics, particle astrophysics, gravitational physics, high energy particle
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a Star Talent? Open postdoc positions at the Faculty of Medicine
-
will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data