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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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, biochemical and biological compounds able to selectively generate apoptosis in primary brain tumors. ESSENTIAL REQUIREMENTS A PhD in nanotechnologies, physics, engineering, or related disciplines Previous
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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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laboratory safety and quality assurance protocols. Specific Requirements Master of Science degree in Horticulture, Biology, Plant Sciences, Agricultural Science or equivalent; and PhD in Horticulture
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LevelPhD or equivalent Skills/Qualifications Requirements: PhD or MSc in a relevant field of interdisciplinary research (e.g. Bioinformatics or Computational Biology). R software development experience
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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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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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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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High motivation to learn Spirit of innovation and creativity Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary