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Responsibilities Conduct foundational research in adversarial machine learning, exploring novel attack vectors and defense mechanisms for AI agents and large language models. Develop formal verification methods and
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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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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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untargeted metabolomics approaches to elucidate the complex phytochemistry of selected MAPs, correlating chemical profiles with biological activity, geographical origin, and cultivation methods. The core focus
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Expression and validation of recombinant proteins in neuronal systems Engineering and functional testing of neuronal molecular switches Supervision and mentoring of Bachelor’s, Master’s, and PhD students
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Essential Requirements: - PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); - Strong understanding of generative models (e.g., VAEs, GANs
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-exome/whole-genome sequencing data from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus. The candidate should have a PhD
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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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, 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