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Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies
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embedded in nanoscopic droplets of superfluid helium. Specific projects include, but are not limited to: 1) Time-resolved imaging of cation-molecule complex formation 2) Time-resolved stereodynamics
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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary
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, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities are Design and implement inhibitor libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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the neuronal system. You hold a PhD in Neuroscience, Neurobiology, Stem Cell Engineering, Biotechnology, or a related field. You have a solid background in histone modification and chromatin regulation, and
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research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed with the aim of benefiting
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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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. The application must include Detailed CV including personal contact information Certificates/Diplomas (Master and PhD degree). If the PhD hasn’t been completed, please attach a statement from your supervisors