410 evolution "https:" "https:" "https:" "https:" "https:" "University of New Hampshire" research jobs at Nature Careers
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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apply and should refer to PD2 posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/
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growing global environmental challenge, may potentially affect early brain development. The work includes preclinical studies to determine whether microplastics can cross the placenta, reach the fetal brain
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and imaging techniques. Familiarity with advanced bioengineering approaches, such as bioprinting or microfluidic systems for in vitro model development. Strong publication record and ability to work in
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empowerment International development and climate challenges Transport, society, and human health Behavioural change and the green transition Supervision: Each Postdoctoral Fellow will have a main SDU
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mammalian cell work are desirable. The candidate should have worked independently and have good communication skills for teamwork. This is a three-year training and development position suitable for you if
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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Society at the Department of Food Science, Aarhus University (http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The position will be affiliated to science-based advice
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https