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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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models. A PhD in immunology or cancer biology is required. Candidates should have at least one first-author peer-reviewed publication. Interested individuals should apply by submitting a CV, a one-page
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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research independently. We especially encourage candidates with experience in bacterial genetics and innate immunity to apply. Minimum Education and/or Work Experience PhD required in related field
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research independently. We especially encourage candidates with experience in bacterial genetics and innate immunity to apply. Minimum Education and/or Work Experience PhD required in related field
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, be able to independently lead a research project, have excellent communication skills, and work efficiently and collaboratively as part of a team. We request a minimum 2-year commitment. PhD in
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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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-band. We are looking for two postdoctoral researchers, who have excelled in the PhD projects and/or previous postdocs positions to join our team working towards demonstrating chip-scale quantum light
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with
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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced