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interpersonal skills. Proven leadership skills. Minimum Qualifications PhD in Computer Science, Software Engineering, or a closely related discipline. Must have PhD conferred upon hire. Preferred Qualifications
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conditions, with emphasis on robust computational pipelines in high-performance and cloud environments. The candidate is expected to publish results in high-impact journals, contribute to student supervision
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functions, using digital twins and advanced validation techniques. You will work closely with leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic
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PhD or MSc in a relevant field of research (Bioinformatics or Computational Biology). Extensive experience in R or Python software development. Understanding of types and properties of mass spectrometry
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leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
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PhD degree is required. Develop protocols for real-time phenotyping of NUE-related traits using the TraitFinder phenotyping system. Build and validate digital twin models using 3D point cloud and
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, Statistics, Epidemiology, or Computer Science -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA. Pay
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through scientific publications Presenting results in well-known international conferences and workshops Providing guidance to PhD, MSc, and BSc students Organizing relevant workshops and demonstrations
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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
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-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas. Author scientific publications, present findings at conferences, and