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opportunities to access national and international networks of scholars through the regular programs of conferences, seminars and visits to the ANU, as a means of a broader contribution to public engagement
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for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage Personal and relational qualities will be emphasized. Research experience
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initiative addressing the “grand challenge” of building resilience in the face of climate change and rapid population growth. Our teams include interdisciplinary researchers working alongside community-based
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will be considered an advantage. A demonstrated interest in and talent for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage
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record direct work with or documented collaboration with research on sediments and modelling international research networks Personal qualifications and suitability will be emphasized. You will collaborate
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; Portland, Maine; San Francisco and Oakland; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through
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relationships Engage with faculty who participate in various interdisciplinary Network with area residents and other Northeastern fellows via professional development programs, teaching seminars, and
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health data. Understanding and/or experience of machine and deep learning (e.g. XGBoost, convolutional neural networks etc.). Flexible, enthusiastic and confident in relating to colleagues of varying
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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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, Computational Biology, Genetics, Molecular/Cell Biology, a related biological, medical, engineering, or STEM field with excellent oral and written communication skills. Preference will be given to a candidate