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tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration
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science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It builds up a national and international network structure
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coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated Solvent Extraction (ASE) and Supercritical Fluid Extraction (SFE), FT-IR
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodule collector prototype Patania II in the Clarion Clipperton Fracture Zone (CCZ) in the subtropical Eastern Pacific in 2021. Undisturbed conditions including their spatiotemporal variability (‘baselines
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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cancer Establish single-cell perturbation screening approaches to investigate cell fate decisions and disease mechanisms Integrate high-content imaging, single-cell transcriptomics, and functional assays
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized