215 algorithm-development "https:" "Simons Foundation" positions at Nature Careers in Germany
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Evolution and Systematics of Microorganisms as a joint appointment of the Technical University of Braunschweig based on the ‘Jülich model’ (with reduced teaching obligations) with the Leibniz Institute DSMZ
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Groningen as a PhD student. Your tasks Develop a bird inspired algorithm and robot capable of magnetic navigation like a bird using the guidance, navigation and control framework as a robotics basis. Develop
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Postdoc position (d/f/m) developing gene editing therapies for ANO5-related muscular dystrophy Work time full-time Start date 01.04.2026 Employment period limited Application deadline 25.03.2026
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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Area of research: Diploma & Master Thesis Job description: Master's Thesis – Nanocarrier Development for Immune Cell Targeting (f/m/x) 102909 Part time 20 hrs./week Neuherberg near Munich Partial
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. "Pervasive lesion segregation shapes cancer genome evolution." Nature 583.7815 (2020): 265-270 Anderson, Craig J., et al. "Strand-resolved mutagenicity of DNA damage and repair." Nature 630.8017 (2024): 744
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from