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and coordinate with growers, collaborators, and research staff across multiple locations. - Maintain research records and assist with data analysis and reporting. Minimum Qualifications: - Ph.D. in
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the restoration of peatland and coastal ecosystems? As one of the two 4-year PhD positions in the NWO funded project ‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC
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‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass
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multiple research and innovation areas. Contribute to joint research outputs and innovation prototypes that integrate results from different streams. Apply for grant applications that lie in the center’s
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Summary
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) to ultimately discover novel therapeutic avenues to implement precision medicine in this field. In order to achieve this our group is engaged in multiple projects covering an array of techniques at both in vitro
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types