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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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for the rapid conversion of biomass into hard carbons, significantly reducing the time and energy required compared to traditional processes. Additionally, the collaborative research aims to identify optimal
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methods that reduce compute, energy usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and
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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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the research area Medical Science, specifically neuroscience with the title: ”Cell Signalling at the Blood Brain Barrier”. The research group conducts translational research with a focus on
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Western blot analyses. Experience working with bacteria in a BSL2 environment. Experience with culturing human cell lines (e.g., THP‑1, HeLa). Documented experience in large‑scale quantitative and
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We are looking for a PhD student in Mineral Processing. As a PhD student, you will be part of an established international research group to work on a new research project, the optimization
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or macrophagens). Training in cell signaling pathways, receptor biology, and immune cell function. Experience with molecular techniques such as Western blotting, ELISA, Flow cytometry, or similar methods
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Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related