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, and phenotypic datasets into AI-ready resources, in collaboration with our data-management partners Develop, re-train, and fine-tune deep-learning models for predicting gene expression and transcription
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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focus on the intersection of research and research infrastructure (m/f/d) to commence as soon as possible in an employment relationship. Employment will take place in collaboration with the DLA (German
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cellular biology. The position is suitable for students seeking to complete a Master’s thesis or an experimental medical doctoral thesis (Dr. med.) within a collaborative research environment between TUM and
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, method development, and clinical collaborations. Specifically, apply and analyse data from portable EEG (potentially fNIRS), portable eye-tracking, physiological wearables, computer vision, or related
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
scientific departments in a highly collaborative and interdisciplinary environment. To strengthen our IT and Scientific Computing Services, we are seeking an IT Specialist for Linux System Administration and
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details here). The Rhine-Main Neuroscience Network (rmn²) offers further collaboration opportunities within the Rhine Main region. Finally, the successful candidate will teach practical and theoretical
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you to promote collaboration between theory, history, and historic preservation, teach the methods of scholarly work as well as architectural analysis and -criticism, participate in architectural and
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science, computational neuroscience and causal AI. You will collaborate with internationally recognized researchers and contribute to developing novel methods for understanding brain dynamics. The current