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in process and systems development related to laser-based metal AM Familiarity with process sensors for laser-based AM methods Familiarity with design for AM and post-processing techniques Innovative
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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A position as Postdoctoral Research Associate is available at the Department of Cellular and Molecular Medicine, in the group headed by Dr. Andrew Blackford. The post is available from 1st September
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partners The working language of the MSO group is English, so you will be expected to have a documented working level of written and spoken English. Contact information For information about SDU Mechanical
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface
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. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Postdoc to develop robust metrics and data collection methods
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main