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extensive training in cell-based methods relevant to evaluating anticancer properties of natural products. Collaborating as part of a multidisciplinary team, the participant will gain experience in: Mammalian
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Research Assistant. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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with qualitative research methods preferred Proficiency with Office 365 (e.g., SharePoint, MS Word) Attentive to detail and able to work independently Before applying, please note that to work at McGill
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: Computational and Data Systems Institute Position Summary: Monitors consulting requests from Microsoft Forms. Consults on enquiries that require knowledge of methods and software applications related to LLM
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 4 days ago
the wellbeing equity gap related to housing inequalities? Methodological approach The project suggests a mixed-methods design. Quantitatively, the student will work with large and complex datasets — including
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) Established Researcher (R3) Application Deadline 14 Feb 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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international conferences to present your own work, and learn about state-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering