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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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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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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 18 days ago
. Interdisciplinary work in a team of experienced engineers and physicists. Needs-oriented training opportunities. Fair payment according to your qualifications and professional experience in accordance with
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based architecture with 2D-connectivity Migration to industrially fabricated devices Your Profile: Master and PhD in physics or a related field In-depth experience with quantum control experiments
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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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, 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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Cluster "Munich Center for Quantum Science and Technology". The contract is initially for two years with possibility of extension. We are opening these positions now and we will start the first screening
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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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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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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms