Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A number of fully funded SU PhD
-
At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
-
equivalent qualification) in physics or a closely related field is required, or for a 4‑year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research
-
, prioritize the different aspects of the PhD plan, including participation in PhD courses, teaching and supervision of undergraduate students. Have good interpersonal skills. Be interested in engaging with
-
collaboratively within the AI: PAGE lab as well as with the AAU-NLP group and History group, and will have opportunities to engage with national and international partners. We also plan to host internationally
-
or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
-
complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
-
. The successful candidate will join a growing research program focused on non-ionising imaging technologies for quantitative assessment of musculoskeletal function. BEC is committed to developing engineered
-
Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
-
. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo Nordisk Foundation (50 million DKK) with academic partners at DTU