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PhD Scholarship Opportunity - Unravelling Cancer Metabolite Recognition by T Cells Job No.: 698874 Employment Type: Full-time Duration: 3.5-year fixed-term appointment Location: Monash University
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models
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conferences Eligibility criteria An undergraduate degree in biomedical engineering, chemistry, biochemistry or equivalent Demonstrated research experience in relevant area(s) An interest in cancer therapy and
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multidisciplinary team and possess a proactive, innovative approach to problem-solving in research. Desirable skills: Prior experience with hydrogel development, 3D cell culture techniques, and a thorough
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applications are: Autonomous experimental solar cell materials discovery. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: [email protected]) Next-generation printable
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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technological and medical sciences with complex ethical implications (such as cloning, stem-cell research/therapy, etc.), youth identity dilemmas, mass immigration, and refugee crises. The central purpose
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related field. Applicants with prior research experience and/or publications in areas such as cell biology, immunology, vascular biology, neurology, or bioinformatics are strongly encouraged to apply