35 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD scholarships at Leibniz in Germany
Sort by
Refine Your Search
-
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
-
science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
-
special payment) Contribution to your company pension plan (VBL) On-site opportunities for health promotion Who we are: The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research
-
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
-
development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
-
development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
-
plan (VBL) Flexible, family-friendly working conditions Good transportation connection with parking facilities Restaurants and cafeterias in close proximity Central location near the city center You can
-
yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
-
, 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
-
yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in