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simulation of distributed quantum programs - Statistical model checking for approximate analysis of distributed quantum systems Qualification requirements Appointment as postdoc requires academic
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of Psychology is a vibrant, inclusive workplace hosting an engaged group of faculty, post docs and PhD students. The department has close collaborations with Odense University Hospital, and its research covers a
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, handling, and synthesising big data geospatial data sets from various data sources. Cutting-edge expertise in advanced statistical analyses of large data sets and strong knowledge of programming languages
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for postdoctoral fellowships in formal methods and programming languages, with emphasis on theorem proving. The positions can have a duration of up to 4 years. The targeted starting period is after Summer 2026, with
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence
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Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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expect the candidate to have: PhD in transportation science, machine learning, behavioral economics or a related field. Programming skills Python, along with experience working with transportation
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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who has A PhD in soil physics, environmental science, hydrology, geoscience, or similar fields Collaborative skills and ability to demonstrate commitment in teams. A fondness of taking the initiative
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Postdoc who, in addition to the desired expertise stated above, have the following skills and qualifications: A PhD degree in bioinformatics, machine learning, computational biology, statistical genetics