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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
responsibilities and tasks include (but not limited to): All steps from requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer Virtual Learning Environment
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications Your primary responsibilities and tasks include (but not limited to): All steps from requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer
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changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes
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(SELECTED TASKS) From requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer Virtual Learning Environment (RMM-VLE) based on DTCS and real-time IoT
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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reactions. The key is the ability to sample the electrolyte near the working electrode and bring that to analysis instruments in a fast and repeatable way. Research field: To accelerate materials discovery