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other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
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throughout your career at UHN. Competitive offer packages Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/ ) Close access to Transit and UHN shuttle
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We invite applications for two fully funded, two-year postdoctoral positions in Materials Science, with a focus on the design and synthesis of sustainable, highly luminescent nanomaterials
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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to multiple Bruker mass spectrometry platforms and regular interaction with Bruker proteomics experts and R&D teams. You will therefore gain experience at the interface of academia and industry-driven
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techniques to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we
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spectrometry and proteomics. PRG consists of eight PI-led research teams and more than 50 researchers and students, providing a highly interactive and collaborative research environment. The postdoc will play a
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Details of the role: Reports to: Michael Way – Group Leader Working pattern: This is a full-time fixed term position for 4 years on Crick Terms & Conditions of Employment Application closing date
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and/or language skills Hands-on skills and programming experience Who we are The robot design and control team led by Xuping Zhang is dedicated to advancing robotic interaction and manipulation, with a
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application of cumulative impact assessment model using food webs, which is intended to assess impact of multi-stressors on trophic and non-trophic interactions networks. The modelling will be primarily based