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the development of hyperspectral 3D electric field imaging techniques in the THz spectral range, utilizing ultrashort lasers and nonlinear optical methods. The work will be conducted at KTH Laser Lab research
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) . Project: AI Planetary Futures: Climate and environment in Silicon Valley's AI paradigm This project analyzes the climate and
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and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
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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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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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focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
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are: DWI-MRE: Adapt current MRE sequences to estimate both MRE and diffusion-weighted images (DWI) at once. MD-MRE: Adapt DWI-MRE to use free gradient waveforms as done in MD-dMRI. Process MD-MRE using