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Field
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root system Designing and implementing novel inversion algorithms for GPR and EMI data Identifying links between
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knowledge on drug delivery, biomedicine, chemical synthesis, biomedical imaging. Experience in synthesis of nanoparticles, nanoformulations, surface functionalization, drug loading and release. Experience in
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methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model
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, productivity, and overall operational stability of the process plants can be determined. This rigorous analysis will provide a clear picture of the flexibility potential and set the stage for implementing
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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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scientists, clinicians, and engineers to push the boundaries of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible
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to the interior of the cell. GPCRs are involved in multiple physiological process including cell growth, neurotransmission, metabolism & immune response; they can misfunction in disease and consequently have served
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, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving the understanding and modelling of these processes to support robust and adaptive climate policy
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zebrafish—being small, transparent and responsive to threatening stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate