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Field
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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Job Description The Department of Design, Media and Educational Studies (Philosophy) invites applications for a 1-year postdoc position. The postdoc will contribute to the subproject “Going all in
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deep learning / computer vision / biomedical image computing Excellent English; German is an advantage for clinical collaboration We offer Highly interdisciplinary, translational research environment
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design, including ground improvement techniques e.g. Deep Mixing or piled embankments. Experience working in industry-academic partnerships, especially related to high-speed rail. Proficiency in numerical
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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of machine learning (including deep learning) algorithms to predict links between gene clusters and metabolites, and to predict antimicrobial activities associated with these Collaboration with international
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5 Sep 2025 Job Information Organisation/Company Nencki Institute of Experimental Biology Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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delineation and improve the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and
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Python and Pytorch as well as deployment on GPU clusters. A strong publication record in graph neural networks, geometric deep learning, representation learning, machine learning–based molecular/materials