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to Reionization from observational and numerical perspectives. Main responsibilities The observational projects will involve analysis of both imaging and spectroscopic data obtained from JWST, HST, and other
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work with and develop custom made techniques coupled to high resolving mass
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approach combines behavioral experiments, psychophysiology, computational modeling, and brain imaging (fMRI). We offer a dynamic, international research environment where you can contribute to top-level
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and develop the research area in question. Of second highest importance that the applicant has postdoc experience from a research environment other than the university at which the applicant defended
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: TH Technology and Health Magnetic resonance elastography (MRE) is a technique of magnetic resonance imaging (MRI) to estimate mechanical properties of tissues. Multidimensional diffusion MRI (MD-dMRI
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and cost-effective solutions integrating renewable energy sources, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high
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—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This project will investigate the failure mechanisms of silicon-based anodes in solid-state batteries (SSBs), a
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications