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predictive or generative methods for materials discovery. Work with state-of-the-art neural network architectures applied to materials data. Publish scientific papers and present research results in top
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degraded DNA Analyse downstream population genomic metrics of extinct species Contribute to software documentation, tutorials, and user training Qualifications: A two-year master's degree (120 ECTS points
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similar degree with an academic level equivalent to a two-year master's degree in the field of civil- or architectural engineering or similar fields. Experience with the following will be highly
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications and technical skills that are listed below. MSc Degree (or equivalent) in Civil or Mechanical Engineering or other related engineering or science fields (e.g., Architectural, Electrical, Mechanical
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. Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing
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the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers, software developers, and data scientists to ensure practical
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently
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., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) More detailed information about the Rules related to DTU’s PhD
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially