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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging. The BASP laboratory
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine
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/molecular screens/assays (e.g., live-cell imaging, bioluminescence assays, digital PCRs, NGS) and the translation of gained insights into the generation of novel cell lines and vector formats (e.g., synthetic
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on explainability of observed subjective car handling and evaluation by test drivers and finally implementing a prototype of a driver digital twin that can be tuned to simulate human drivers. You will work alongside
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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling