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scientists, clinicians, and engineers to push the boundaries of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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team of experienced researchers in imaging, machine learning, oncology, and pathology. We do not discriminate on the basis of sex, gender, belief, culture, place of birth or occupational impairment when
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combined with the ability to work efficiently both independently and as part of a team. Moreover, you have: a PhD in (bio)medical sciences/molecular imaging; research experience in molecular imaging
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of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible for developing and refining MRI technologies to visualize brain
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chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept
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on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and processing algorithms
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Welcome to Maastricht University! The Computational Brain Connectivity lab (CBClab) at Maastricht University is looking for a PhD to investigate Human Cortical Angioarchitecture with 3D Histology
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be