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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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anthropogenic pressures. It will also provide spatially explicit information relevant to biodiversity conservation, ecosystem management and the preservation of culturally valued mountain landscapes. The PhD
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development, data acquisition, and bioinformatics analysis. The successful candidate will oversee the operation, maintenance, and optimization of LC-MS/MS, GC-MS, and other mass spectrometry platforms, while
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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groups, and explore how different exposure windows shape results. The project offers training in exposure science, environmental epidemiology, cognitive ageing, and longitudinal data analysis
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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accordance with IACUC compliance Contribute to data analysis, and manuscript drafting Mentor junior lab members as needed Expected Salary: $25.00 - $30.00 / hourly Required Qualifications: ● MSc plus relevant
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at the interface of cognitive neuroscience, neurophysiology and data science. Profile: PhD in neuroscience, psychology, cognitive science, statistics, data science or a related field, with strong
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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and