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long, and under what conditions recovery is possible? We are looking for a postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas-funded project developing dynamic
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research cluster. More PhD opportunities are listed on the CPMA website: https://www.ntu.ac.uk/research/groups-and-centres/groups/creative-practices,-methods-and-analysis Enquiries about this self-funded PhD opportunity can be directed to Dr. Marco Bohr at [email protected] .
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-based chemical analysis, data processing, statistical evaluation, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the
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Complex Data Analysis ○ Areas of Research: Algebraic methods in data analysis, optimization, topological data analysis, geometric deep learning. ○ Considered a plus: experience in programming or course
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Systems Analysis and Complex Systems. The graduate school is organised within the Departments of Environmental and Energy Sciences and Technology Management and Economics. About the research
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maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at
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postdoctoral scholar will develop LLM-agent systems that engage deeply with physics-discovery workflows and accelerate key stages of complex experimental and data-analysis pipelines. Additional details
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the information obtained into specifications that can be used by a natural language processing-based analysis tool. The analysis tool is being developed in collaboration with interdisciplinary
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research