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of Artificial intelligence, machine learning, omics data integration, and drug discovery and maintain knowledge of literature related to the areas of research pursued Mentor and train junior team members Foster a
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field experiments Data curation and analysis Preparation of manuscripts and grant proposals Qualifications PhD in Ecology and Evolutionary Biology or closely related field. Position Type Research
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life
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be reappointed on an annual basis based on the continued availability of funding. QUALIFICATIONS: A successful candidate will hold a PhD in a cybersecurity-related field and demonstrate strong
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100% externally funded and will be reappointed on an annual basis based on performance. Qualifications A successful candidate will hold a PhD in environmental sciences or related fields. Strong record
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will hold a PhD in environmental sciences or related fields. Strong record of peer-reviewed publications Excellent verbal and written communication skills, attention to detail, and training in research
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write