Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on
-
applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary
-
biologists, palaeoanthropologists and archaeologists with a fascination for human evolution research. Information on the Globe Institute can be found at https://globe.ku.dk. Your job We seek an enthusiastic
-
biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
-
, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
-
questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Links: [1] https://www.cs.aau.dk/research/Data-Engineering-Science-and
-
will find contact persons at the bottom of the jobpost. Links: [1] https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems/ [2] https://www.cs.aau.dk/ Further information Read more about our
-
3 Nov 2025 Job Information Organisation/Company Roskilde University Department Department of Science and Environment Research Field Environmental science Researcher Profile Recognised Researcher (R2
-
dispersions. To reduce environmental impact, a link should be established between hydrophilic-hydrophobic deviation (HLD) theory and microfluidic droplet flow patterns, quantified using advanced AI image
-
sensing and responding to the chemical landscape surrounding them as well as the chemical signals inside of them. This project is devoted to gather large data sets to investigate links in olfactory receptor