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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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system to monitor the overhead catenary" -the research activity consists of the design and validation in the laboratory and, subsequently, in the field, of the operation of a wireless and energy-autonomous
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for a highly motivated researcher to join the Biomedical Informatics Group as part of the MetaRbolomics4Galaxy project. MetaRbolomics4Galaxy is a DFG-funded collaborative project of Eurac Research
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics
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biomedical engineers collaborate, each with their own expertise, to carry out common research in tight collaboration with industrial partners. The “2D Materials Engineering” Research unit is coordinated by Dr
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biomedical engineers, sharing their expertise to work at the border of these multiple disciplines. The position will be in the Multifunctional Neural Interfaces Research Unit is coordinated by Prof. Ferruccio
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/project: The Institute for Biomedicine at Eurac Research is looking for a highly motivated researcher to join the Biomedical Informatics Group as part of the MetaRbolomics4Galaxy project
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coupled with High-Resolution Mass Spectrometry (HPLC-HRMS/MS), typically Q-TOF or Orbitrap systems, and potentially Gas Chromatography-Mass Spectrometry (GC-MS). Advanced Data Processing and Bioinformatics
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have a PhD or equivalent research experience in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and
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understanding of AI security. Collaborate with academic partners and the research community to advance the state-of-the-art in adversarial robustness and trustworthy AI systems. Minimum Qualifications PhD in