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and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong
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. Experience in laser instrumentation, image sensors or laser diodes. Experience with multi domain calibration of photonic instrumentation. Experience of lidar-, radar-, sonar-, accoustics- or antenna activities
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qualitative approaches like interviews and workshops, and experimental work involving the development and evaluation of prototype systems. The current position has been planned for modelling sustainability and
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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for geospatial data processing and deploying analytical or predictive models Documented experience of analysis of remote sensing (RS) data, satellite image processing, or google earth engine in water-related
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School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications