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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
Job Code: MPIDS-W088 Job Offer from August 20, 2025 The Max Planck Institute for Dynamics and Self-Organization (MPI-DS) at Göttingen, Germany, is an international, interdisciplinary and
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. The postdoc will become part of a dynamic, interdisciplinary, and inclusive team as a member of one of the department’s research groups https://www.uib.no/en/infomedia/102434/research-groups-and-networks
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as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment. Further increases in salary are made according to length of service in
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to the supervision of graduate students working on the project - Contribute to the preparation of academic publications. - Contribute to code development efforts in the group at large About you The
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/research-groups-and-networks . The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council. The Department of Information Science and Media
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salary during sick leave for 52 weeks, and paid parental leave**. Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment
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and/or pump-probe techniques. Strong optics experience including building and/or adapting setups is essential, and experience working with coding, automation and algorithm development highly desired
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academic, clinical, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in
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manuscript writing, networking, teaching, and public policy/advocacy. For further information, please visit hastings.lab.arizona.edu. This position is eligible for visa sponsorship. Outstanding UA benefits
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will