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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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enrichment experiment. The aim is to study how soil fungal communities may be changing through time, and infer the functional significance of this, in terms of changes in organic matter composition, and C
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fungal communities may be changing through time, and infer the functional significance of this, in terms of changes in organic matter composition, and C accumulation rates. About the position The postdoc
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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Network Inference https://www.umu.se/en/ucmr/ec-postdoc-programme/ncrna_net-development-of-a-novel-approach-to-lncrna-mrna-regulatory-network-inference/ 7. Virome–vector competence shifts: How mosquito
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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high-quality research and development Strong track record of publications in leading Q1 journals and top-tier international conferences Excellent programming skills, with demonstrated ability to develop
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track record of publication will be preferable. Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to
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qualitative and quantitative NGS dataA track record of publishing peer-reviewed academic papersEvidence of ability to work effectively both independently and as a member of a small team.Evidence of ability
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experience with ML methods. Knowledge of common ML frameworks Experience in analyzing qualitative and quantitative NGS data A track record of publishing peer-reviewed academic papers Evidence of ability