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machinery is the fundamental challenge behind the BBSRC-funded GlycoWeb project. This 4-year PhD forms part of GlycoWeb’s broader mission. Project The PhD project will focus on the organisation of highly
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developing these systems, and will accelerating the supply of AI machine learning controlled machinery to farmers unlocking all of the benefits described in the first paragraph. Objective: Achieve both
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based materials to advance the potential of biopolymers in various applications. Project description
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these interactions modulate neural circuit function in health and disease. We are seeking a highly motivated individual to study mechanisms of how T cells modulate resident brain cells during neuroinflammation
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on cells of the innate immune system such as macrophages and neutrophils. In particular, we explore mechanisms of malignant transformation, cellular differentiation and the control of immune cell
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on uncovering mechanisms of CNS myelination and neuroinflammation. The lab combines advanced in vivo imaging approaches with complex models of demyelinating disease to investigate glial cell dynamics, immune-glia
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extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which results in materials with diverse microstructures and mechanical properties Perform experimental
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identify the spatiotemporal impacts of clear-cutting on soil physical characteristics, hydrogeology and GHG emissions. Existing benchmark data like below-ground geophysical, hydrogeological, and soil