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Field
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with experience in zebrafish work, advanced microscopy (in vivo imaging, confocal microscopy), host–pathogen interactions, innate immunity, vaccination, gene expression analysis, or cell-based assays
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now Fatigue profoundly impacts mobility and quality of life in people with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning
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restrictions, and national security considerations may constrain the international mobility of researchers, potentially reshaping global knowledge networks and innovation outcomes. This PhD project examines how
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regulation, with the long-term goal of enabling more precise design of RNA therapeutics for complex diseases. The doctoral researcher will analyse large-scale single-cell and bulk multi-omics datasets
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potentials and Hamiltonian learning approaches for organic-inorganic interfaces, such as organic battery electrode/electrolyte interfaces and defect-containing solar cell interfaces Perform molecular dynamics
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working