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the ability to build a strong support network for your future career, and be part of a laboratory with a strong track record of placing post-doctoral employees into competitive research positions and
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, Robotics, or related field requirements for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based
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offer A fast-paced and dynamic environment with a rapidly-growing and adapting team Opportunities to interact with leading researchers in the field of AI Networking with industry partners in
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) that encodes transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq to complex in vivo environments
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within the assigned region. Strong interpersonal skills with the ability to communicate effectively across all levels of senior management. Comfortable navigating complex regulatory environments and
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cavities—within a single day [Runser, et al., 2024, Nat Comput Sci 4, 299–309 (2024); Tweetorial ]. SimuCell3D represents a major advance in modeling tissue mechanics, cell polarization, and complex
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computational resources and a broad network of global collaborators. Compensation: We offer a competitive salary. For employment details at ETH Zurich, visit ETH Zurich Employment Information . chevron_right
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of Machine Learning PhD position Wood Materials Science - DC11:Electrically conductive bio-based materials -within the Marie Skłodowska-Curie Actions –Doctoral Networks (MSCA-DN) RE-Fibre 100%, Zurich, fixed