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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
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Award. The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project
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will focus on the prediction of genetic interaction networks and image analysis for automated phenotyping. We welcome interest in developing both ongoing and novel research projects in the lab, and are
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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with the attributes listed in the requirements section are strongly encouraged to apply. Education Requirement: PhD or equivalent in psychology, neuroscience, cognitive science, biomedical engineering
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics