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Field
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Research Assistant I-Lab will report to a faculty member in the Department of Human Evolutionary Biology. Under specific direction, performs a variety of basic and general laboratory research and clerical
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candidate with a background in SAR/InSAR signal processing and time series algorithms, combined with strong expertise from an application domain that strengthens the group’s current activities. Key
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and/or expertise in the field of Evolutionary Biology, and fully comply with the following requirements: The PhD must have been granted at least 3 years ago; Demonstrated scientific and/or professional
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the project activities. – Assist in the dissemination of project results through presentations, publications, and stakeholder engagement. Development of algorithms (80%) – Conduct a comprehensive review of the
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 30 days ago
services. Responsibilities include leadership of commissioned research; characterising, validating, and integrating new sources of data; monitoring data quality; developing methodologies and algorithms
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Description Job Summary: The Research Assistant I-Lab will report to a faculty member in the Department of Human Evolutionary Biology. Under specific direction, performs a variety of basic and general
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Solid knowledge of molecular biological methods Experience in executing large-scale evolution experiments Sound knowledge of ecological and evolutionary theories and concepts Practical experience in
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the Iberian Peninsula: an eco-evolutionary and spatially explicit approach (Ref. 2024.15118.PEX ), financed by Fundação para a Ciência e a Tecnologia, I.P. through national funds under the 2024 Call for
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novel cryptographic algorithms. Contribute to project documentation and the dissemination of research findings. Author and co-author scientific papers for submission to top-tier journals and conferences
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collaborative project that spans multiple continents. Your main role will be to develop advanced algorithms for multivariate, multi-resolution time series analysis of wearable and neurophysiological data spanning