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looking for a postdoctoral researcher with a strong interest in evidence-based conservation and restoration ecology. The project combines fundamental ecological and evolutionary research with applied
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Description We are looking for strong, ambitious candidates with previous research backgrounds in molecular biology, human genetics, evolutionary biology, genomic technologies, bioinformatics, or machine
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processing, beamforming, image reconstruction, elastography, Doppler imaging, or computational imaging. Demonstrated experience in algorithm development and scientific programming, preferably in Python
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light emitting substrate – coelenterazine. Even though bioluminescence is a surprisingly common trait in marine organisms, little is known about its ecological, evolutionary and biochemical nature. We
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the
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evaluating their performance relative to classical machine learning and statistical methods. The research would combine algorithm development with implementation and evaluation on current quantum computers
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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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de Mendoza, Reader in Evolutionary Epigenomics, [email protected] About the Role About the Role A Postdoctoral Research Associate position is available in Dr Alex de Mendoza’s laboratory
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environments, our research provides important insights into ecological and evolutionary processes, including the effects of climate change and human activity. The team brings together researchers with
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, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds — including those interested in human evolution, building