Sort by
Refine Your Search
-
identification, and who have significant experience in applying Machine Learning (ML) and Artificial Intelligence (AI) to these areas. Applicants with theoretical, numerical, experimental, or combined research
-
. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
-
the above Sections, but topics beyond, or across sections are also welcome. We are, in particular, looking for applicants with competencies in topics like: Machine Learning/Artificial Intelligence, NLP/Large
-
Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
-
. The page may be updated with new areas until the deadline for application. Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during
-
in addressing complex organizational and societal challenges. The successful applicants will be expected to teach and supervise students across all levels. Our study programme portfolio includes an MSc
-
empirical basis for multisensory enrichment in learning environments. The successful candidate will contribute to the development of a specialised input device, applying their technical expertise to create
-
empirical basis for multisensory enrichment in learning environments. The successful candidate will contribute to the development of a specialised input device, applying their programming expertise to create
-
the ability to teach at least two of the courses listed below. Applicants should indicate in their application which of the listed courses they are able to teach and how their research interests align with
-
, particularly in the context of nutrition, disease, and animal production. Responsibilities Research within the focus areas mentioned above. Teach undergraduate courses in veterinary and animal sciences