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for linking basic and applied research, located in central Tuebingen The opportunity to establish your own junior research group, including a newly created PhD position (75% E13 TV-L). The team will also
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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, collaborate closely with geneticists, breeders and industry partners and publish your results in high-impact journals. You supervise MSc/PhD students and contribute to new grant proposals. Your qualifications
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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number: 2025-0107 We have an open postdoctoral position in the Division “Personalized Medical Oncology” (head: Prof. Sonja Loges MD, PhD). The Department “Personalized Medical Oncology” focusses
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
results in law, in related humanities, or in the social sciences. Your PhD dissertation in English or German will have been awarded ”summa cum laude” or the highest grade in another grading system
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completed university degree and a completed PhD in linguistics (or a related social science relevant to the topic of the project) Very good knowledge of conversation analysis, interactional linguistics, and
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from researchers with a PhD in demography, sociology, statistics, epidemiology, public health, economics, computer science, and allied fields. The successful candidate(s) will work on one or several