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Field
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challenge in the electronics industry. When temperature of devices increases their lifetime reduces and thermal trottling can reduce performance. In highly integrated systems, the volume of material
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. Together with variations in processing parameters, this complexity makes it challenging to ensure that specific material properties remain stable from batch to batch. You will explore how Machine Learning
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Antarctic Research, combines geochemical analyses, 16S rRNA gene sequencing, qPCR, and RNA-based stable isotope probing (RNA-SIP) using 13C-labelled organic material. We aim to identify these key fermentative
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the future of health and life sciences. By integrating stem cell biology, patient-derived material, tissue engineering, microfluidics, advanced analytics, and digital technologies, NAM platforms enable
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these benefits. While much research has focused until now on static liquid metal solutions, real systems will use flowing liquid metals to replenish lost material, to advect heat and implanted fuel ions away, and
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circuits. However, key challenges remain in topology selection, magnetic material utilisation, winding technologies and multi-physics optimisation. Addressing these challenges will support the development
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assemblies to determine how spatial organization, cell–material interactions, mechanics, and molecular communication shape emergent behavior. Possible project elements include: Mammalian cell culture and
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delivered in previ-ous research; now the fundamental relations between process, matrix material, reinforcement, and structural performance need to be determined. The main tasks in the project include
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observations of successive phenological stages, collection of plant material, whole-genome DNA sequencing, genotyping using DArT-seq and RAD-seq, and molecular and bioinformatic analyses, including differential
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circular consumption contributes to extending product lifetime, retaining material value, and reducing waste, with cases on e-bikes and electronics (washing machines). Using a transdisciplinary research