Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
). Identification number: KA-PPM-2025-003599 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at/offene
-
. Identification number: KI-MCL-2025-003514 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at/offene
-
. Identification number: KA-HNO-2025-003600 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at/offene
-
or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteMedical University GrazCountryAustriaCityGrazGeofield Contact City Graz Website http://www.medunigraz.at/stellen
-
2 Mar 2026 Job Information Organisation/Company academy of fine arts vienna Department HR Research Field Arts Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
-
high-quality data through functional genetic screening approaches with the aim of enabling novel therapeutic strategies. For further job related details see link below: Tenure track professorships Where
-
under the category: +add more document Additional comments General information can be found at the following links: Faculty of Technical Chemistry: https://www.tuwien.at/tch Institute of Applied Synthetic
-
molecular mechanisms by which flavor-active molecules modulate chemoreceptor signaling pathways in different tissues and to link these findings to physiological outcomes. The project combines state-of-the-art
-
molecular mechanisms by which flavor-active molecules modulate chemoreceptor signaling pathways in different tissues and to link these findings to physiological outcomes. The project combines state-of-the-art
-
, machine learning, statistical methods and other data analysis techniques willingness to process and link existing data sets at INTK (including RFA, Raman, HSI and FTIR) and to build future work on them