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Field
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-doctoral scientist with strong experience in either molecular and evolutionary biology, mutational analysis, or reverse genetics, and work in BSL-3 environment. Knowledge of next generation sequencing
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designated public urban university. Our University offers a dynamic and vibrant environment that encourages a culture of contribution and collaboration. We are always looking to expand our network
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projects, while working in a highly collaborative team environment. Applicants should have a willingness to learn new research concepts, approaches, and techniques. Under the training and guidance of the PI
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 16 hours ago
living cells perceive and react to their environment in dependence on their history, the Department of Systemic Cell Biology generates morphogenic systems by encapsulation of interacting dynamic (bio
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. Workplace Workplace We offer A stimulating, collaborative, cross-disciplinary environment in a world-class research institution; Flexible work arrangements, including remote working, flexible time, condensed
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research facilities and advanced computational resources. A dynamic and supportive research environment with extensive opportunities for professional development and networking. A competitive salary and
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business schools in Europe. We have an internationally recognised research environment and collaborate with 195 universities and business schools worldwide. NHH is the first choice for students who want
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environment or paleoclimate. The postdoctoral researcher will join a dynamic cohort of researchers within the St Andrews School of Earth & Environmental Sciences. The post is available until 30 June 2027
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/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from
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system modeling into actionable products used in a productive environment build an ML-framework for developing physics-constrained emulators based on gridded spatial climatological data sets (e.g