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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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synthesis methods for the Abstraction and Reasoning Corpus (ARC) challenge . ARC is a benchmark designed to measure an AI system's ability to efficiently acquire new skills outside its training data
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PhD degree in immunology or closely related field, or be close to graduation. An excellent academic record, a deep understanding of immunology, as well as practical experience of immune cell biology
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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research visits at Karolinska Institute. • Excellent opportunities for career development, mentoring, and training in advanced structural and cell biological methods. • Occupational health care, access
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publications and conference presentations The candidate is expected to have Education, experience and technical skills A relevant PhD degree with previous experience with crop physiological methods, plant-soil
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advanced structural and cell biological methods. • Occupational health care, access to university sports facilities, and relocation support if applicable. • 5–7 weeks of paid leave and flexible working hours