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: Applicants should possess a relevant PhD degree with a solid track record in research. Candidates with strong background and research experience in molecular and cell biology, biochemistry, or genetics
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or functional epigenomics. In addition, computational biology experience is essential for one of the positions and experience or interest in advanced experimental models is essential for the second role. A track
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to write applications for research funding. Demonstrated research excellence, including a publication track record in relevant journals and conferences. Demonstrated ability to conduct independent research
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datasets. Eligible candidates must have a Ph.D. in public health, an M.D., or a J.D. Competitive applicants will have a background in basic biostatistics and a track record of publishing in high-impact
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
scientific papers and deliver technical reports. Good publication track record in peer-reviewed journals. Strong communication skills in English (written and oral). Ability to work independently and as part of
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upload your current CV Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries into innovations that improve
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activities under limited supervision, as a member of the Infectious Disease Dynamics and Interventions group, that align with the strategic research priorities of the group Demonstrated track record of 1st
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
, biodiversity, or the functioning of forest ecosystems will be considered an additional asset. A scientific track record documented by publications in recognized peer-reviewed journals. Proficiency in English
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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or substance use clinical trials would be highly regarded). Dedicated to ethical research conduct and confidentiality, particularly concerning identifiable data of a sensitive nature. An emerging track record