Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Greifswald
- 1 more »
- « less
-
Field
-
to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
-
to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
-
doctoral degree in psychology, cognitive science, biology, computer science, medicine or an equivalent discipline Relevant research experience or interest in the field of “Decision Neuroscience
-
for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
-
the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
-
management, (organizational) psychology, sociology, economics, business informatics, or related subjects, • with a strong passion for entrepreneurship and/or family business research, • with a solid knowledge
-
-)Statistics, (Bio-)Informatics, Computer Science or related disciplines Strong background in modeling multi-modal data (images, tables, text, etc) Understanding of biases and causal inference Experience with
-
and satellite-based remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in
-
, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination