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is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race
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a vibrant and collaborative research environment within the Industrial Microbiology section of the Department of Biotechnology at TU Delft. The section brings together six principal investigators and
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at the Swedish University of Agricultural Sciences (SLU), Uppsala, to investigate how plant cells reorganize their nuclei and gene regulatory systems to survive extreme environmental conditions. Some organisms can
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interpretation. Applicants with a strong machine-learning or statistics background moving into astrophysics are welcome. Supervision and environment. Both positions will be co-supervised by Dr. Azadeh Moradinezhad
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programming skills in R. Proficiency working within UNIX/Linux environments. Preferred Qualifications Experience with Bayesian statistical methods. Experience with hierarchical modeling and mixed effects models
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make a real difference at LJMU, we look forward to hearing from you. LJMU values diversity and provides a supportive and inclusive environment where everyone can fulfil their potential. Please note all
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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results as well as actionable insights for the project's partners and pilot sites. Candidates may come from marketing, consumer behaviour, psychology, behavioural economics, environmental psychology
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–both those who suffer from mental disorders and those who do not–iPSYCH sheds light on the interaction between heredity factors and the environment, which for some people result in them developing a
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stimulating multidisciplinary research environment focused on regulatory mechanisms that enable cells to retain their identity.We employ Drosophila and human cell culture models, genomics, genetics and