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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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analyse their data. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the
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Dr. Joao Duarte. You will have access to state-of-the-art facilities across the faculties of medicine, science, and engineering, as well as access to the national infrastructures required
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. More information about the total announced post-doctoral positions within in
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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, be sure to check what these are before you apply. The position also requires: PhD or equivalent foreign degree within molecular biology, biochemistry, structural biology or a related subject. The PhD
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for this project The selected candidate must have: A PhD in Chemistry, Physics, or other fields deemed relevant to the project, with experience in at least one of the analytical techniques described in the project
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qualification deemed to be the equivalent of a PhD in molecular biology, biomedicine, or a related field is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later
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- A CV including a list of publications - Proof of completed PhD - Contact details of two references Applications must be received by: 2025-08-23 Information for International Applicants Choosing a