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for colonisation, survival and transmission in the flea vector. This position is embedded within a collaborative project spanning the natural, medical and human sciences, with the broader aim of understanding
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mentor for this opportunity is Matthew Gilbert, PhD ([email protected] ). If you have questions about the nature of the research, please contact the mentor(s). Anticipated Appointment Start Date
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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computational computer languages. Demonstrated proficiency in summarizing scientific findings in the form of written manuscripts and oral presentations Experience working collaboratively and iteratively with
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of the terms of this. Additional comments GDPR Disclaimer FORTH is compliant with all legal procedures for the processing of personal data as defined by the Regulation EU/2016/679 on the protection of natural
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spacious areas, abundant natural light, and a functional, well‑designed environment aimed at enhancing people’s wellbeing. OTM-R principles in the selection processes ICIQ follows the principles of Open
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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30 Jul 2026 Job Information Organisation/Company INCLIVA Biomedical Research Institute Research Field Medical sciences » Health sciences Researcher Profile Recognised Researcher (R2) Positions PhD
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
, cheminformatics or bioinformatics PhD degree in a related field, obtained no more than 5 years ago Good track record of scientific publications and achievements Excellent computer skills including scientific code
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma