663 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CERIC-ERIC" positions at Nature Careers
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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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funding and leading collaborative, interdisciplinary projects; extensive education experience, using diverse and innovative teaching methods, with demonstrated contributions to curriculum development 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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the development and optimization of pre-clinical genome editing strategies to treat hemoglobinopathies and other hematological diseases, process development, and IND-enabling studies (Pharm/Tox). Job
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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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research environment by contributing to lab meetings, leading discussions in journal clubs, and engaging with collaborators and invited speakers, as well as taking advantage of wider development
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publication environment with high visibility. The position provides excellent career development opportunities within a dynamic, interdisciplinary, and highly collaborative research ecosystem spanning LMU
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skills in data science, advanced AI interface development and machine learning?to apply climate change and other relevant data to real-world problems exchange and coordination with project partners Your
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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