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to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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optimizing static mixers through the development and extension of the state-of-the-art spectral element CFD code Neko from KTH, Sweden. You will also contribute to developing methodologies and software
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understand researchers' needs for handling their research data, metadata, data management plans, code, etc.? Do you see the value of data sharing, reuse, and referencing for research? Do you have experience
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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-year master's degree and with an interest in simulation and machine learning. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your
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practices in computational experiments. Experience with source code version control (Git/GitHub), automated testing (CI/CD), and DevOps practices. Experiences in Linux and other OS that are the backbone
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for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data
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. Furthermore, you must in the application for the Researcher position document research activity within at least three or more of the following thematic areas: Computational mechanics using commercial FEM codes
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– gather and coordinate input, create the agenda, send invites, take minutes with action points, and follow up Create reports and presentations based on input from board and management team members Assist