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, machine learning or causal inference for estimating, understanding and forecasting demographic and health outcomes, at the individual and aggregate levels, including as they relate to life course and socio
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07.10.2025, Wissenschaftliches Personal We are looking for an outstanding, self-motivated postdoctoral researcher. The candidate should have a strong track record and experience in intestinal
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 days ago
Present research findings at internal seminars and international conferences Stay up to date with relevant scientific literature Supervise and mentor junior scientists Your qualifications A strong track
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achievements • very good track-record of research and publication activities, preferably on an international level in one of the following areas of management: Organization, strategy, alliances and networks
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Fast Track Research Group “Muscle Metabolism and Ageing” headed by Dr. Stephanie A. Fernandes is looking for a full time Your tasks: Investigate the role of mTORC1 and lysosomes in muscle physiology
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track record of research and scientific publications. Desirable qualifications Experience with designing, conducting and analysing social science experiments. Familiarity with place-based and/or
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, psychophysiological measurements (e.g., EMG), eye-tracking and devices for the presenta-tion of visual, olfactory and auditory stimuli •Working environment at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU
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other stress markers • Assisting in the analysis of animal behaviour and movement data using Al, and evaluating the behaviour of infected animals via video tracking • Interdisciplinary collaboration
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available with the following responsibilities. Further development and implementation of efficient methods for the representation and fusion of RGB-D, eye-tracking, and IMU sensor data Development of novel