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Field
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, for initially up to three years (exten-sion possible), starting preferentially in September 2025 or as soon as possible thereafter. • A gross salary up to E13 TV-L. Salary will be deter-mined in
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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. The successful candidate will join Patrick Burr’s diverse and multicultural research group and collaborate with the HB-11 Energy research team, also located in Sydney. For more information on the research group
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prediction tools, such as AlphaFold2 or Rosetta, including multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host
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, with the possibility of a contract extension after this period. The selected candidate is expected to work on projects about dust control, biostabilization and bioleaching, and reuse of mine tailings
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
information collected from molecular data and explore in combination with existing knowledge on environmental conditions using ecological statistics Characterize environmental consequences of nodule mining and
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research seminars, including