7 condition-monitoring-machine-learning Postdoctoral positions at University of Cambridge
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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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., orthotopic, patient-derived xenografts) to study cancer biology and therapeutic response. You will play a key role in helping establish, monitor and analyse in vivo models, working collaboratively with
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics
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of reaction optimisation and synthesis of suitable reagents, test the conditions developed at the cellular level and purify and characterise (mass spectrometry) glycoRNA. The successful candidate will have (or
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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/