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of implant surfaces functionalised with antimicrobial peptides (AMPs) using experimental infection models to assess the biocompatibility and therapeutic potential of AMP-coated titanium and polymers in
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collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
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occupational pension scheme. Read more on the University website about being a Lund University employee Work at Lund University Work duties and areas of responsibility As a PhD student in iPS cell therapies in
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) Doctoral subject: Energy and Environmental Engineering Eligibility Access to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment
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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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Research subject Biology Are you searching for a PhD project in which you, together with colleagues from other Universities, will contribute to developing new legume-based cropping systems for a more
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research activities. For information about the Department of Physics, see: www.fysik.su.se/english . Project description Subject: Medical Radiation Physics Medical Radiation Physics is a vast and complex
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sciences. Subject area The Department of Zoology at Stockholm University invites applications for a four-year PhD position based at SciLifeLab, in the research group of Assistant Professor Lisandro Milocco
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this, we focus on self-supervised denoising, where models learn to restore images using only the noisy data itself — without requiring clean references. Existing approaches often rely on convolutional neural