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to high-impact, interdisciplinary climate science at the intersection of modeling, attribution, and policy-relevant research. The position is available to begin as soon as possible, preferably no later than
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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qualification, you must hold a PhD degree (or equivalent). Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. Application procedure To apply, please
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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learning, and single-cell omics data modeling, or closely related fields Proficiency in R or Python under Linux with contributions to source code Strong track record of scientific productivity, including