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Field
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holographic information using natural and spatially incoherent light sources. However, the image quality of such systems is still limited by inaccurate models of incoherent light propagation and by the complex
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model validation. Strong Python skills, experience with deep learning frameworks such as PyTorch, and tools for processing complex and/or spatial data. Initial experience in teaching, workshop
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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education. The project will involve software development for Apple Vision Pro using Swift and the Apple spatial computing ecosystem, as well as the development and deployment of edge AI models for automated
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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when neuromodulation by acetylcholine, dopamine, noradrenaline and serotonin occurs in the hippocampus during spatial navigation tasks in mice designed to manipulate the type and degree of error and
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Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2027
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on open-set recognition, foundation models, multimodal approaches, and uncertainty-aware, incremental learning to build adaptable AI systems that recognise known species while handling unseen classes
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peripheral nerves and breast cancer cells by combining advanced tissue studies with experimental cell models. The postdoctoral researcher will work with human co-culture models based on stem cell-derived