668 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-University" positions at Nature Careers
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-driven experiments, including CRISPR and Perturb-seq, single-cell transcriptomics, and spatial-omics screens. Human Technopole supports career development through training, mentoring and dedicated learning
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communication with principal investigators across multiple sites to anticipate, clarify, and address needs for efficient conduct of research. Contribute to the development of new grant proposals and funding
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pediatric immune development. The successful candidate will be responsible for developing robust automated pipelines for novel assays-specifically TIRTLseq and 5'RACE-to track clonal expansion, infer HLA
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development, maintenance, and optimization are essential for this position. The successful recruit must have the capacity to execute proficient data storage, management, and integration strategies and
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in the field of Artificial Intelligence. The successful candidates will be responsible for delivering high-quality instruction, mentoring students and contribute to curriculum development. Faculty
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) - one of the largest quantum hubs in Europe - and the Austrian Cluster of Excellence quanta. The group’s research combines the development of scalable photonic quantum technology for quantum computing and
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administrative responsibilities across a variety of mediums. This opportunity is perfect for those hoping to work as part of a team to advance scientific research on autism and human evolution in a challenging
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approaches, thereby making use of the unique infrastructure and expertise in the department and ideally bridge the Departments of Functional Ecology & Evolution and Palaeontology. For this position, we seek a
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Online Gas Analysis Development of sophisticated means for quality control in the acquisition, documentation, and archiving of scientific drilling data Integration of the HiPerCoRig drilling system
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development and statistical modelling in resilience assessment (e.g., dynamic/latent-variable models, Bayesian hierarchical models, causal inference, time-series analysis, cognitive modelling) Build robust