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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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part of the Swedish Research Council (Vetenskapsrådet)-funded project “PolyKinetics” and is based in the Laboratory of Organic Electronics at Linköping University, Sweden. As part of this project, you
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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methods, technologies, and materials to reduce reliance on unsustainable practices and fossil fuel-based compounds as a response to societal requests for green alternatives that maintain high performance
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Boreal forests are a key resource for Sweden’s bio-based economy while also providing other important ecosystem services related to climate change mitigation and biodiversity. Sustaining
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international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive atmosphere with challenges and
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-pathogen interaction models, antimicrobial peptides, or CRISPR-based systems. You have experience of insect models or RNAi-based screening. You have experience of functional delivery assays (e.g., in