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Field
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fMRI processing. Ideal candidates should have a PhD in computer science, biomedical engineering, or electrical engineering. Over three years of research experience in deep learning, MRI and medical
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Applications: Microsoft Outlook Preferred Other Computer Applications: MATLAB, ImageJ Preferred Additional Knowledge, Skills and Abilities: Familiarity with software tools for image analysis. Email to a Friend
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appointee will report to Dr Mafalda Santos, a Senior Postdoctoral Fellow and co-awardee on the Wellcome Trust grant supporting this post in the T-cell Biology Group (TCBG), and Prof Simon Davis (Head of
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computational methods Knowledge of concepts in digital image processing and analysis Knowledge of ImageJ or willingness to learn it Knowledge of biophysical models and an ability to translate theoretical concepts
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programmes of the university, including medicine, biomedicine, midwifery, and nursing as well as computer sciences. Research portfolio: The holder of this position will have the possibility to develop a
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basis of neurodegeneration and the drug discovery process. You will have experience in an array of molecular and cellular biology techniques, particularly relating to protein homeostasis. The ideal
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vibrational spectrometry (experience with 2D correlation spectroscopy is an advantage) - Basic knowledge of computer-aided calculations - Knowledge in the field of HPLC, mass spectrometry, ion mobility
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intervention – Developing strategies to diagnose and treat psychotic disorders at the earliest stages. Neuroimaging and biomarkers – Using advanced MRI, PET, and other imaging techniques to study the brain’s
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At the Fraunhofer Institute of Optronics, System Technology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor
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community. Requirements: outstanding university and PhD degree in Computer Science, Applied Mathematics or Physics advanced programming skills and experience in data and image analysis ideally, first exposure