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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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and screening. There are different research projects available, depending on the skills and experience of the candidate. We are interested in applicants with a PhD, with a strong research track record
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the agro-industrial sector will be valued). Completed a PhD in any area related to regulation, social science, and/or geography, broadly defined, including humanities and social sciences; Advanced
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes of ecology, interspecies
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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of the project assist with the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes
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for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic