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: to show independence in achieving research goals and willingness to collaborate and to supervise PhD students working on deep learning, computer vision, and medical imaging; to help manage the lab
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who is keen to contribute to the development of trustworthy machine learning systems and to translating algorithmic advances and challenges in machine learning for policy makers. What are you going
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to your expertise; What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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background in synthetic organic chemistry, although expertise in other relevant fields such as chemical engineering, machine learning, automation, analytical chemistry, and programming (e.g., Python) are also
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Strategy target. The position is part of an internationally diverse and world-leading team of ecologists, computer scientists, engineers, and stakeholders. It will develop showcases for integrating acoustic
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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periods; Giving lectures and talks and contributing to teaching workshop participants on using the developed tools; Working with ecologists, remote sensing scientists, computer scientists and stakeholders
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and electronic experiments at cryogenic temperatures; Develop theory and computer simulations to support the experiments; Present your results in international workshops and conferences; Collaborate
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services (WP3), develop models and computer codes (WP5), and organise capacity building and training for ecologists and environmental scientists (WP7). Tasks and responsibilities: Handling and processing
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Science, Machine Learning. Candidates with MSc in Computer Science, Information Management or closely related fields may be also considered; An interest to a growing research domain of the future green and