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9 Dec 2025 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Feb 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through...
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Department of Wildlife, Fish, and Environmental Studies WIFORCE Research School Do you want to contribute to the future sustainable use of forests? Apply to join WIFORCE Research School! Biodiversity and the role of forests in climate change are now key social issues that require more knowledge....
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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include developing new automated program verification techniques specifically for such programs, as well as specification inference and fault localisation approaches that would make such verifiers practical
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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
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to conduct one's own postgraduate education. This includes, in addition to completing mandatory doctoral courses, using sequence analysis (including phylogenetics [both maximum-likelihood and Bayesian analysis
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, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is mainly externally funded and is carried out in
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to education. The following will be considered meritorious: Track record demonstrating excellent modeling work related to energy systems or environmental policy evidenced by an M.Sc. thesis or equivalent