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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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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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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
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into consideration. We are looking for someone with a doctoral degree in molecular biology or related subjects and a strong track record of publications. Experience in the supervision of Bachelor and Master students
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into consideration. We are looking for someone with a doctoral degree in molecular biology or related subjects and a reasonable track record of publications. The applicant is expected to have a strong background
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track record of publishing peer-reviewed academic papers Evidence of ability to work effectively both independently and as a member of a small team. Evidence of ability to organize resources, plan, and