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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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qualifications: PhD degree in computational science, computational biology, or equivalent Master’s degree in biomedical engineering or equivalent Experience of using various data sources (radiological images
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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21 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Chemical engineering Engineering » Mechanical engineering Physics » Applied physics
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% Start date: July 2026, or otherwise agreed Are you a student with a keen interest in single molecule technology and a passion for applying your skills to characterize molecular interactions to support
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, for example, information processing, communication systems or medical imaging. Internationally, quantum technology is divided into three pillars - quantum computation and simulations, quantum communication and
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary