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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
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these. Documented experience of biophotonics. Documented experience of laser remote sensing. Documented experience of hyperspectral imaging. Independence, responsibility and organizational skills. Social skills
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are particularly interested in the neuropsychiatric symptom picture in Parkinson's disease and in developing better treatment. We have a specific interest in the anatomical-functional association within the STN, and
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, biophysics, and computational biology. You will work closely with an experienced team and collaborate with experts in molecular biology, hormonal signaling, microscopy, biomechanics, image processing and
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high-content imaging, especially in connection with particle and chemical toxicology. The successful candidate has good communication-, organization- and interpersonal skills, including the ability
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. Description of the workplace
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, inspiring, international and highly interactive environment. Facilities include Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM