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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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framework that translates evolutionary insights into synthetic biology and redefines the limits of metabolism. Find out more about Osipova lab here About the role We are looking for a highly motivated postdoc
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: DKFZ International Postdoc Program Area of research: Scientific / postdoctoral
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in close partnership with experimental colleagues across knitted sensor arrays and piezoelectric/triboelectric energy harvesting, developing deep technical understanding of both systems and building
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the fabrication of optical fibre sensors, their characterisation, development of an opto-electronic measurement. The main aim of the proposed work is to develop an automated approach for reliable manufacturing
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instruments such as ADCP, ADV, water quality sensors, and underwater cameras • Analyse and integrate field observations into predictive physical models • Collaborate with interdisciplinary teams including
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for the automatic inspection of train components with multi-modal sensor data, enabling early detection of defects and supporting safer, more reliable, and more efficient railway operations. The successful candidate
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, presenting work and writing manuscripts. Application Procedure Applicants should submit the following as a single PDF to [email protected] with the subject line “InfantNeuroAI fMRI Postdoc 2026
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collecting soil, plant, and water samples; monitoring soil moisture with advanced sensors; organizing and processing research data; and contributing to modeling efforts that examine water and nutrient dynamics
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Required educational qualification, experience, skills and competencies: PhD in Stem Cell Biology, Molecular Biology, Synthetic Biology, Immunology, Bioengineering and at least 2 years postdoc experience in