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socio-economic constraints. https://www.eu4greenfielddata.eu GreenFieldData will mobilize 14 Doctoral Candidates (DCs) enrolled in Double Degree Doctorate programmes with 12 academic main beneficiary
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The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
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insight into the complex dynamics of individual cell growth and water transport within tissues [1]. At the tissue scale, we have developed a continuum theory of plant growth that treats tissue as a
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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tools, and in vitro cell culture facilities Participation in (inter)national conferences, training programs, and skills-development workshops Opportunities for international collaboration and research
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field. Experience with research activities. Research experience in a laboratory setting. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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to developing new methods and tools related to blood coagulation analysis on the chip. Prior experience with Vascular Biology or Thrombosis strongly preferred. Candidates with prior wet lab, such as cell-based
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the forefront of cell and developmental biology. Our research focuses on the developing wing of Drosophila melanogaster as a model system to understand how tissue morphogenesis and cell-to-cell communication
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mutation data analysis The successful candidate will play a key role in methodological development, single cell data analysis and somatic mutation identification, working closely with clinicians and
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variants in cell lines. Performing automated patch clamping experiments. Validation of hybrid biological-digital twin methods and experiments. Development of protocols for integration of the method in