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requirements for the position. Finnish language is not required. Applicants must be motivated to conduct research at the highest international level. Postdoctoral Researchers must hold a PhD degree in a suitable
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
: Letter of motivation (max one page). CV including list of publications. Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a
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interest in sending funding applications). We value collegiality and promote equality, diversity, and inclusivity. We encourage all qualified applicants with different backgrounds to apply for our open
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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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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in logical reasoning is essential Demonstrable research experience in SAT/ASP/SMT/MaxSAT Excellent English
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in SAT/ASP/SMT/MaxSAT is essential Any experience in model counting and a broader understanding of machine
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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD
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who will have completed their PhD by autumn 2026, and fall into two categories: 1) Entry-level Postdoctoral Researcher, intended for candidates with no more than three years of postdoctoral experience
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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