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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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carbon-based conductive inks, and prototype CRFID tag validation. Project success will address the aforementioned barrier, enabling the realisation of CRFID's full potential as a truly sustainable
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image and regulate mood states in a closed-loop system. The study will involve healthy volunteers and patients with a history of brain injury, using cutting-edge neuroimaging methods including functional
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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spectroscopic tools (photoelectron imaging and action spectroscopy) to study the structure and dynamics of transition metal complexes. The research project aims to develop a new method for elucidating
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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function of various centriole and centrosome proteins using a variety of imaging and analysis techniques in living Drosophila embryos. Experience with advanced light microscopy and analysing large imaging
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electrochemical interface science! LiNRR is a highly dynamic electrochemical process where Li plating/stripping, SEI formation, electrolyte/proton-source reactions. These co-evolve and directly influence ammonia
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parasite mutants, antibodies, spatial proteomics, real-time and super-resolution imaging, we will reveal essential protein domains and characteristics, will identify interacting protein partners and will
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is