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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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. One of the ongoing projects consists of the development of a computational code for topology optimization of continuum structures considering transient dynamic loading via explicit finite element
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intracellular or extracellular bacteria. Analysis of DNA damage markers, levels of m6A machinery (writers, erasers and readers), and host cell response in 2D and 3D culture models by biochemical and imaging
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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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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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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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THIS POSITION is based at the SoftiMAX beamline, part of the Imaging group at MAX IV, which encompasses 12-15 people (post-docs, engineers, scientists). Their main task is to aid research and
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communication with the Swedish marine industry will take place on a regular basis. Main responsibilities As a full-time doctoral student, you will be expected to independently develop numerical methods and codes