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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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covers tuition fees, a stipend, and RTSG (research training and support grant). Alongside the scientific PhD training, the programme will provide a wide range of training opportunities. DTP Standard
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Biology. If you have not yet completed your master program, you can apply to be enrolled in our 4+4 PhD program, which is a way to commence the PhD study whilst concurrently completing the master program
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biology and great enthusiasm for the bone marrow niche and therapy-resistance mechanisms. The PhD student will work in close collaboration with other CRC/SFB members and groups and will perform multiomics
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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The Nencki Institute of Experimental Biology of the Polish Academy of Sciences, a part of Warsaw PhD School in Natural and BioMedical Sciences, is currently the largest non-university biological
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application for our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for
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The PhD project will involve both (a) developing foundational probabilistic machine learning methodology, and (b) applied collaboration with experimentalists in chemistry and biology. The candidate may have
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational