Sort by
Refine Your Search
-
on an equal and inclusive work culture. How to apply? Please send your application (a CV, a cover letter including your research interests, and two references, certificates of academic achievements, list
-
. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel
-
environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
-
. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘GluAmin’ is therefore
-
The Leibniz Graduate School on Aging (LGSA) is a joint program of the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) and the Friedrich Schiller University (FSU) in Jena. The School calls
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
explicitly welcome. Please send your application with informative documents (cover letter, CV, copies of certificates as well as reference letters (if available)) exclusively in electronic form and in a PDF
-
same aptitude, skills and professional qualifications. If you are interested, please send your complete and informative application documents (including references and a letter of motivation) by 30
-
applications of disabled candidates. They will be preferred in case of equal qualification. We welcome applications from all backgrounds. For more information please contact: Dr. Sigrid Milles; e-mail: milles
-
Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the