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activities (approximately 16% of working time) and supervising PhD students in applied economics research at the University of Helsinki. In addition, the researcher can use up to 50 per cent of their working
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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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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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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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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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applied industrial economics with ample opportunities for individual and collaborative research, acquisition of external research funds, and supervising MSc and PhD students. We seek candidates who have
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funds, and supervising MSc and PhD students. We seek candidates who have completed a PhD in economics or agricultural economics, who have solid training in econometrics and applied microeconomics and
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using combinations of multiple ‘modes’ of expression. These methods and
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of Languages and funded by an ERC Consolidator Grant awarded to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using