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. The PhD student will join the Life Cycle Sustainability (LCS) group that brings together multiple competences within industrial ecology and sustainability science for the holistic and quantitative
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change, market dynamics, and daily grid variations. These factors contribute to heightened structural and control complexity, along with multiple layers of uncertainty. In this context, Hybrid Power Plants
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
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to clinical problems in cardiology and to more fundamental questions within the area of cardiovascular disease as well. The project is a collaboration project between multiple Scandinavian Universities and
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical