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Number: 202755 Minimum Education and Experience: PHD degree in life sciences required. Requires minimum of 5 years of relevant professional experience in a research laboratory, excellent communication
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how these ecological shifts intersect
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to the Principal Investigator, you will help ensure a healthy and vibrant research environment within Natalia Ares’ and Dominic O’Brien research groups. You should possess a relevant PhD/DPhil (or be near completion
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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and oral communication skills Requirements: Recent or soon-to-be-completed PhD (within the last 0-5 years) in the field of organic, organometallic, or inorganic chemistry, or a related field Ability to
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-completed PhD (within the last 0-5 years) in the field of organic, organometallic, or inorganic chemistry, or a related field Ability to model Argonne’s core values of impact, safety, respect, integrity, and
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postdoctoral researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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functional digital twin environment. Contribute to industrial validations, results presentations, and scientific publications. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Applied
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods