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processing and analysis (e.g. using tools such as Matlab, Python and Labview). 4. Excellent communication skills in English (oral and written) and excellent presentation skills. 5. High
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 14 days ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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into funded projects and measurable results by connecting infrastructure planning, capital strategy, financial analysis, governance processes, and energy resilience goals. Working closely with Facilities
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institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and postdocs. Learn more
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communication, social media research, network analysis, and/or time series analysis. How to Apply (Closing Date: 30 September 2025) Interested parties are required to submit a complete dossier: A detailed CV
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key strategic metrics, goals, and predictive analytics to improve the financial condition of the university, advance student learning, support the global network, and increase research. The Senior
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, sustainability, and innovation, making this an exciting environment for food scientists who want to make a tangible difference. https://www.yeovalley.co.uk/ What you’ll bring Essential qualifications A bachelor’s
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updates. Manage and monitor backup systems. Provide user support for networking, applications, scientific equipment, printers and other peripherals . Provide analysis, design, planning and implementation
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selection criteria Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis