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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools
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will play a key role in ensuring that these complex data streams are acquired, synchronized, quality-controlled, modeled and interpreted with the highest level of technical and analytical rigor. Main
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. This post is full-time and fixed term for two years with the potential to extend depending on further funding. The successful candidate will hold, or be close to completion of, a PhD/DPhil in economics or
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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assessments What You’ll Need to Thrive You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical Engineering, Data Science or a related discipline Proven experience with
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for implementation, data collection, and teacher co-design activities. Please Note: This position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education PhD in
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research