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Field
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Apr-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Environmental Sciences
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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not reached vulnerable groups or created impact at scale. SMARTSCALE brings together scientists, local partners, and governments to learn from past experiences and design better ways to spread moisture
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part of an (international) team, and excellent command of English (mastering the German Language is not required). Specific Requirements A PhD in history, digital humanities, cultural studies, philosophy
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weeks of training in higher education teaching and learning. The work duties include: Research within the area of next-generation sequencing, bioinformatics and invertebrate visual ecology. The successful
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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engage diverse audiences in new responses to climate change and sustainability. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects
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• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research