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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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Teach and supervise at undergraduate, master’s, and PhD levels Collaborate with academic and industrial partners Disseminate results in top-tier conferences and journals Requirements PhD in
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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additional activities or projects within the Centre. Job requirements The ideal candidate must have the following requirements: PhD in Physics or Engineering; A track record of high impact in the quantum
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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Recruitment Attract top-tier postdoctoral
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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Outstanding Postdoctoral Training Strategy
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PhD or MSc in a relevant field of research (Bioinformatics or Computational Biology). Extensive experience in R or Python software development. Understanding of types and properties of mass spectrometry
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setups ESSENTIAL REQUIREMENTS A PhD in mechatronics, including biomedical engineering, mechanical engineering, and similar disciplines Documented experience in wearable devices and/or robotics Strong
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of Transnational Governance. Applicants must be within 5 years of the award of their PhD. Preference is given to those who have recently completed a doctorate, not had a postdoctoral position before and/or
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PhD in molecular biology, biochemistry, bioinformatics, genetics, proteomics, or related fields - Strong analytical and problem-solving skills - Excellent publication record in peer-reviewed