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. Computational experience is required. The candidate will be embedded within a multidisciplinary team and will have opportunities to lead international collaborations. Responsibilities and Duties · Design
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. metro area. Opportunity to partner with frontier AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute
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None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Max Planck Research School (IMPRS) is a joint project of the Max Planck
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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History Museum. The mission of the Senckenberg Biodiversity and Climate Research Centre is to study the complex interactions between biodiversity and climate change. The announced position is embedded in a
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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multidisciplinary environment such that research opportunities are and can be embedded within clinical service delivery models. Rank and track (clinical, research, tenure) are open. Clinical licensure (PhD or MD) is
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/ deliverables Serve as a primary point of contact for funders, ensuring deliverables are met and communication is clear and proactive Support a multidisciplinary team including pre-doctoral fellows, PhD students
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degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic). Experience of processing of numerical and/or experimental data and systems thinking. Excellent communication
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academic leaders to engineer and coordinate solutions for the challenge of antimicrobial resistance (AMR). The Centre provides a unique cohort experience to its students, offering 4-year PhD studentships