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Scientist (f/m/x) Curation of annotated X-ray CT images for deep-learning-based segmentation of s...
for deep-learning-based segmentation of s... Employer Helmholtz Association of German Research Centres Location Germany Closing date 19 Oct 2026 View more categories View less categories Discipline
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 2 days ago
for use-case demonstrators
Requirements:
- university degree (Master’s or equivalent) in computer science, electrical engineering, machine learning or
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quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways
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, Biotechnology, or a related field Employer BAM Bundesanstalt für Materialforschung und -prüfung Location Berlin (DE) Salary E 13 TVöD Closing date 18 Oct 2026 Website https://www.bam.de View more
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interactions, immunometabolism, neuro-immune interactions, disease resilience and health-disease transition, systems immunology, AI and machine learning for disease interception, as well as technology
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vertebrates and the underlying genomic changes, with a particular focus on the evolution of gene expression and its regulatory basis (see Research Scientist (m/f/d) - Artificial Intelligence and Security
, workshops, and other scientific events What you contribute An excellent academic record with a degree in Computer Science, Mathematics, or a related field, specializing in Machine Learning
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multisensory functions, neuroplasticity, learning, visual attention, visual spatial processing, locomotion
Entry requirements
Master degree in psychology, cognitive
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 2 months ago
University Hospital. Our interdisciplinary team integrates clinical research, medical imaging, and machine learning to develop clinically relevant tools for individualized cancer detection and risk
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methods was launched within IT. The focus is to develop novel, efficient algorithms and methods to cope with the big amounts of data that require processing (incl. machine learning), as well as to