22 machine-learning-and-image-processing-"U" Postdoctoral positions at University of Cambridge
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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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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to Professor Guilio Del Zanna at gd232@cam.ac.uk If you have any queries regarding the application process, please contact LE46579@maths.cam.ac.uk Click the 'Apply' button below to register an account with our
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at ben.allanach.work@gmail.com . If you have any queries regarding the application process, please contact LE46560@maths.cam.ac.uk Limit of tenure: one year, the funds for this post are available until the end
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. Informal enquires are welcomed and should be directed to Professor Raymond E Goldstein at R.E.Goldstein@damtp.cam.ac.uk If you have any queries regarding the application process, please contact LE46716
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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