29 parallel-processing-bioinformatics-"Multiple" PhD positions at Aalborg University in Denmark
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development and creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quantum Information Processing in Networks. The stipend is
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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to clinical problems in cardiology and to more fundamental questions within the area of cardiovascular disease as well. The project is a collaboration project between multiple Scandinavian Universities and
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creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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, including design, materials and processes, or testing, would strengthen your application. Finally, a background or keen interest in statistics, statistical analysis, and surrogate-based modelling would be