Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
-
colleagues in the group and external partners in Denmark and Europe. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
-
and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality
-
include Motivated letter of application Curriculum vitae PhD and master diploma or transcript in English Complete list of publications Separate PDFs of particularly relevant papers (max 3) The deadline
-
The area of employment is Aarhus University with affiliated institutions. The primary workplace will be Gustav Wieds Vej 10, DK-8000 Aarhus C. Contact information For further information please contact
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
-
scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
-
motivated by combining rigorous modelling with direct industrial impact in the green transition. You have: A PhD in chemical engineering, process engineering, mechanical engineering, data science, computer
-
approx. 150 employees, 75 PhD students, and 775 bachelor and master’s students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and educational institution when it comes
-
with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research