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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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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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proposed research directions 1-page statement describing your approach to engaging and growing the CNM scientific user program RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0
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working on systems that enable users to act in remote physical spaces and experience the effects of their actions through multimodal feedback (audio, video, haptics). While SINLAB addresses applications in
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background and the ability to design, implement, and iteratively refine technical prototypes informed by empirical insights and user experience. The PhD project is anchored in the DESIGN research group, which
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and possible exemptions can be found here: https://www.sv.uio.no/english/research/phd/structure/programme-description.html#two Desired qualifications Experience with statistical genetics, polygenic
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en