11 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"Prof"-"FEMTO-ST" Postdoctoral positions at King's College London in United Kingdom
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Associate to join a growing programme investigating how age-associated changes in haematopoiesis shape inflammatory responses relevant to cardiovascular disease. Working within the School of Cardiovascular
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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work make a real-world impact? King’s College London is seeking a talented Postdoctoral Research Associate to join the pioneering NanoCure project, an ambitious programme developing medical-grade
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formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning
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MRI, QSM, relaxometry, or magnetization transfer imaging), Proficiency in neuroimaging analysis pipelines, including familiarity with tools such as FSL, MRtrix, ANTs, or equivalent, and programming
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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rigorous probability Desirable criteria 1. Demonstrable ability to plan and manage independent research. 2. Experience in one or more of these topics: interacting particle systems, random walks in
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programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG) and/or genomics; strength in one area with willingness to develop in the other. Ability to contribute to data
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data