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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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: Master's degree in Information Technology or equivalent education Knowledge of systems theory, systems modelling and simulation methods Knowledge of digital twin concepts, architectures, and applications
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/GC-ICPMS) and the scientists involved (David Amouroux, Maïté Bueno, François Rigal et Emmanuel Tessier). This project is carried out in collaboration with Andra. The candidate must have a Master's
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research work (master project or undergraduate project), pointing out the question of the project, the methods used, the obtained results, and your interpretation of the results them. Also, what you learned
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conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU
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master students. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,059 to € 3,881 (scale P). This does not include 8% holiday allowance and 8,3
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collaborate as part of a multi-disciplinary team. You will be based in Radcliffe Primary Care, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2
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(scientific services according to § 65 HessHG) You will supervise theses and support the academic development of students. Your Qualifications and Skills completed Master´s or equivalent university degree
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advantage You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep