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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration
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spatial omics, genetically engineered mouse models and clinically annotated human cohorts to understand the molecular mechanisms driving rare kidney cancers. The successful candidate will benefit from state
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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Have you completed your PhD? Are you eager to enrich knowledge
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number of References Required 3 Maximum Number of References Allowed Keywords
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to collaborate with other team members, such as the Research Fellow who focuses on building machine learning models for perceptual quality prediction. About you The post-holder is expected to have a PhD degree (or