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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in embodied AI and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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technologies and instrumentation concepts for future particle physics experiments. Research areas may include new and emerging quantum sensors based on nitrogen-vacancy centers, development of novel readout
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 4 Aug 2026 - 00:00 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Research fellowship Job
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Researcher (R2) Positions Postdoc Positions Application Deadline 10 Aug 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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We are looking for 5 motivated postdocs to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering. You will contribute
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The Cluster of Excellence Physics of Life" (PoL, https://physics-of-life.tu-dresden.de/en ) is an interdisciplinary research center at TUD Dresden University of Technology dedicated to quantitative
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
microelectronics, optical systems and lasers, ultrasound or sensor technologies, precision instrumentation, mechanical design and Computer-Aided Design (CAD), biomedical imaging systems. Programming experience in
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Medicine Postdoc Appointment Term: One year with possibility of extension Appointment Start Date: October 1, 2026 Group or Departmental Website: https://profiles.stanford.edu/john-openshaw(link is external
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor