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processing. This methodology will be compared to other neural recording methodologies and will be combined with optogenetic stimulation - Preparation of animals (rodents) for imaging - High-speed two-photon
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in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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to apply Website https://www.sckcen.be/en/thesis-and-internship-topics/scintillation-imaging-and… Requirements Research FieldMedical sciencesEducation LevelMaster Degree or equivalent Research
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. Basic skills or strong interest in computational analysis (e.g., Python/R, image analysis, or metabolomics data processing) are a plus. Strong organizational skills, attention to detail, and the ability
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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relaying instructions to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, reviewing images for accuracy, and ensuring image quality by performing
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You are a creative and enthusiastic researcher with an MSc degree in physics, mathematics, computer science, engineering, medical physics, technical medicine or similar. You are a team player with
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Engineering: brain–machine interfaces, neuromodulation, neural signal processing, neurotechnology development, computational and systems neuroscience, neural recording and stimulation technologies, wearable and