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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and advanced imaging to dissect the cellular signaling and regulatory networks that control
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-positions-application/list-of-phds APPLICATION Deadline: 15th Apr, 2026 Application open: 5th Jan, 2026 Eligibility criteria and application procedure: https://www.eu4greenfielddata.eu/phd-positions
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of this joint laboratory is towards the development of innovative nanotechnologies and nanomaterials for various electronic and photonic applications. For more details, please view https://www.ntu.edu.sg/cintra
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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application. For more information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose