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-organization. Specifically, you will: Use high-throughput live-cell microscopy, quantitative image analysis, and set-up super-resolution microscopy to track these changes. Combine experimental data with
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of the English language; Able to work independently and in a team; An academic, creative and curious mindset; Preferably research experience in network science, AI, and/or AI-driven network analysis; *Candidates not (yet
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, employees, IT infrastructure, specialized training). Second, they may require the use of quantitative models, data analysis, and algorithms, but these applications must also safeguard the data privacy and non
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under increasing strain. Traditional approaches focus on expanding supply, but is there another way? Could infrastructures themselves play a more active role in shaping demand? SPINES supports
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/2025/07/significant-impulse-sustainable-industry/ . This PhD position is part of HyCARB project and it will focus on the development and evaluation of advanced materials, cell architectures and reactor
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/2025/07/significant-impulse-sustainable-industry/ . This PhD position is part of HyCARB project and it will focus on the development and evaluation of advanced catalytic materials and reactor concepts
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Collider? We look forward to your application! As a PhD candidate, you will conduct fundamental research in experimental particle physics, perform data analysis and develop object reconstruction algorithms
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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research methods and data analysis. Ability to work in an interdisciplinary, international team. Excellent command of written and spoken English (Dutch is an advantage). Strong academic writing skills and
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative