145 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "Inserm" "Inserm" positions at Leibniz
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
year Interest in an academic career and in topics related to resilience and resilience promotion, as well as in the analysis of neuroimaging data and/or the computational modeling of psychological
-
team led by Dr. Michael Stolpe and the doctoral program of the interdisciplinary Research Alliance Leibniz INFECTIONS. The group cooperates closely with leading medical researchers, biologists and social
-
(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Project manager in the context of the European Collaborative Cloud
-
Computing and Data Science, which is currently being established at JLU. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching
-
challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM Wellpass Submission of application
-
coding and/or computation with ab-initio ELK software is sought for. Offer: The researcher position is available at the earliest possible date. This is a postdoctoral position for 1 year. The payment is
-
processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
-
offers a lively, international research environment with well-equipped laboratories and computational facilities. The DSMZ strives to increase the proportion of female scientists and encourage female
-
perspectives on peace and conflict, and so on. The activity plan should be envisioned in connection with the production of the Visualising Conflict/Peace Atlas, as well as producing your own journalistic output
-
qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine