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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities
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changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes
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. Dr Chisari’s team engages in major large-scale structure surveys (e.g. LSST DESC, Euclid), and visits to Leiden Observatory to collaborate with the lensing group are planned. Involvement in outreach
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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large metagenomic datasets. These features include both the weapons and shields that bacteria use when fighting each other: antimicrobials and antimicrobial resistance. In the Research Group for Genomic