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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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. This internship is ideal for a PhD student in the early stages of their studies who is looking to expand their skills in nanoparticle formulation, microfluidics, and translational biotechnology within a dynamic
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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of your Australian passport, Australian Permanent Resident Visa or Australian/New Zealand
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cutting-edge research in biochemistry, molecular biology and plant science. The student will be supervised by Dr Tatiana Soares da Costa based at the University of Adelaide. Dr Tatiana Soares da Costa is
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Documents Original or certified copies of your academic transcripts and certificates A certified copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of
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proficiency test results (if applicable) Names and contact details of 2 academic referees Copy of your current passport (if available) Once you have discussed your EOI with Dr Keele, please submit your
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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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invite you to apply and request a copy of your CV together with a covering letter outlining your relevant qualifications, experience, research experience, and reasons for applying for the scholarship