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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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and training master’s/PhD students or visiting fellows in in-vivo imaging techniques and data analysis. Contributing to grant proposals and project planning. You will report to the Eugenio Gutiérrez
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epidemiology in connection with an ambitious new large-scale study within molecular epidemiology. The study will combine data from the Danish nation-wide registries with pre-diagnostic biological data to study
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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, technology, and sustainability. About research We are looking for an innovative researcher with a background in music cognition, psychology, music technology, or musical data science, ideally with a
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large
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and North, ensuring real-world testing across diverse agricultural contexts. Beyond the research itself, IBIS aims to implement standardized experimental protocols, harmonized data formats, and
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical