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Field
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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for the Postdoctoral Fellow post should have a PhD degree in Nursing, Psychology, Public Health, Global Health or other health-related disciplines or an equivalent qualification and must have no more than five years
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harmonised protocols for clinical sample processing and multiomics approaches (including transcriptomics, genomics, metagenomics etc.). We have joined our teams to provide bespoke support and analysis
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. Qualifications: PhD in Quantum Physics, good knowledge in the Physics