Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
-
here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
-
assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https
-
written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
-
Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
-
and Distributed Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and
-
staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
-
obtained from: Professor Uffe Mortensen, E-Mail: um@bio.dtu.dk You can read more about Department of Biotechnology and Biomedicine (https://www.bioengineering.dtu.dk/) You can read more about the Department
-
, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep
-
QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise