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leverage state-of-the-art deep learning techniques to address challenges in visual data processing and forensic analysis. As part of a dedicated, collaborative research team, you will push the boundaries
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learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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the developmental rules underlying phenotypic variation. The successful postdoctoral fellow will develop and implement an empirical framework that utilizes data-driven algorithms to learn relationships between past
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at the frontier between deep learning and genomics, we encourage you to apply for this position. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be equivalent to a
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to analyze histopathology images, clinical and molecular data. Computer vision and deep learning techniques are central in our research projects aimed at improving cancer patient risk stratification. As a
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and methodology for data synthesis, sparse representation learning, deep learning, fairness in generative models, as well as projects related to image capture, and image analysis The employment
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the fight against cancer and drive cutting-edge research at the frontier between deep learning and genomics, we encourage you to apply for this position. Your profile To be eligible for employment as a
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high-throughput stimulus-response experiments and use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers