29 communication-network-optimization Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
-
contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make use
-
. Candidates with prior experience in biomineralization and/or skeletal research will be preferred. The ideal candidate thrives in an interdisciplinary environment, communicates well both in written and spoken
-
metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
-
electrochemical characterization Experience with either electrolysers or flow batteries Experience/engineering skills with construction of experimental setups Good skills in communication of research results
-
candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
-
Department of Scandinavian Studies and Experience Economy within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position in Old Norse studies
-
computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
-
, psychology, music, or other relevant education. You have independent research-related qualifications at a high international level. You are a clear communicator, and you have some degree of experience
-
tasks will consist of: Brainstorming and designing how to handle samples for multiple analysis. Optimization of protocols for tissue preparation before further analysis of disease mechanisms (and drug