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system Designing and implementing novel inversion algorithms for GPR and EMI data Identifying links between non-invasive agrogeophysical parameters and the soil–plant continuum Improving small-scale
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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interdisciplinary research team; learn to independently collect, analyse and interpret your data, share your data at national and international conferences, and prepare manuscripts for publication; contribute
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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in treatment receipt, time-to-treatment and treatment adherence will be assessed using linked data from the Clinical Practice Research Datalink, Hospital Episode Statistics and the Cancer Registry. In
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. These results will be linked to seismic reflection data through impedance-based interpretation workflows, enabling assessment of predictive accuracy across sediment types and data quality levels. The project
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. These results will be linked to seismic reflection data through impedance-based interpretation workflows, enabling assessment of predictive accuracy across sediment types and data quality levels. The project
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physical sciences, and interest in environmental applications. Useful recruitment links: For information relating to the research project please contact the lead Supervisor via: f.vollmer@exeter.ac.uk
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities