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, Education Sciences, and Sociology Recipient category: Candidates must have a master's degree and be enrolled in a: a) Degree courses: PhD. b) Non-conferring degrees courses: non-degree courses integrated
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large and/or heterogeneous datasets, including quantitative and/or qualitative data Experience working with project partners and interdisciplinary research teams Required Education PhD in environmental
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candidate, you will bring: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as chemical engineering, physics or chemistry. Please note
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or students when needed. Qualifications & Experience PhD degree in Chemical Engineering, Biotechnology, Microbiology, Biochemistry, Synthetic Biology, or a related field. Demonstrated research experience in one
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depending on the fellow’s performance as it relates to their initiative, support of the lab, their publication record, and available funding. Education Requirement: The ideal candidate will hold a PhD (about
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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bring certified copies of certificates and diplomas upon request. The application must include: Transcripts and diplomas for Bachelor's-, Master's- and PhD degrees. If you have not yet completed your PhD
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Requirements Master’s degree in Materials Science (specialising in cement and concrete), Civil Engineering, or a related discipline; a PhD will be an advantage. Demonstrated knowledge and hands-on experience in
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scientific discoveries. PhD candidates expecting to complete by 2024 are encouraged to apply. Candidates with expertise in organic synthesis, peptide/ natural product/macrocycle chemistry, or chemical biology
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application of machine learning and AI methods to large-scale, longitudinal, routinely collected eRegistry data. The successful candidate will collaborate with researchers, PhD candidates, postdoctoral fellows