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working with large or complex datasets, ensuring accuracy, reproducibility and secure data management. They will be able to work both independently and collaboratively as part of an interdisciplinary team
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions
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-performance computing systems (,e.g., SLURM) Familiarity with population genomics, GWAS, or related approaches Experience with large biological datasets Proven ability to communicate scientific information
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, and biomedical data science Develop and evaluate new methods for causal and predictive inference, and decision-making using large-scale and/or multi-source data Collaborate with faculty and research
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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Requirements: Master’s degree or PhD in biology, ecology, environmental sciences, marine sciences, or a related field Ability to work with complex ecological or environmental datasets Experience with data
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outdoor, sports and exercise activities. As a major centre of education with a large student population, it also features a vibrant cultural scene. For more information about the University of Jyväskylä
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the understanding of the dynamics between marine top predators and fish populations through integrated analyses of trophic interactions, movement ecology and behaviour, together with monitoring data. The successful