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                Additional comments Applicants must hold a PhD in bioinformatics and/or evolutionary ecology. The selected candidate will interact and collaborate closely with all members involved in the project. Website 
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                students. Requirements Skills/Qualifications A PhD and excellent academic record in Neuroscience, Cell Biology, Bioinformatics, or related field. Previous experience in hiPSC differentiation to neural cells 
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                biochemistry approaches, under the supervision of Dr. Karen Yuen (kwyyuen@hku.hk ). We are looking for a PhD in the above subject area and a proven track record of productivity. Experiences in microscopy 
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                healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning 
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                -bioinformatics-and-a… Requirements Specific Requirements You are in the possession of a PhD in a relevant discipline (computational biology/bioinformatics/statistics/computer science/AI) with a publication record 
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                15 Sep 2025 Job Information Organisation/Company INSERM U1183 Department U1183 Research Field Biological sciences » Biological engineering Researcher Profile Recognised Researcher (R2) Positions PhD 
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                students; Exchange and discussion of results within in the team; Analyze, interpret and present collected data and prepare scientific publications and third-party funding applications. YOUR PROFILE: PhD in 
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                projects Integrate into the research team and provide support for junior members and students Your profile Solid experience in cell biology and experimental laboratory work Expertise in bioinformatic 
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                team for sample processing and wetlab assay optimization Data interpretation and reporting for drug screens on individual patients Your profile What you bring for this position: PhD in a relevant subject 
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                , bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and