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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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or synthetic network modelling. Experience in converting or interfacing models between different simulation tools. Experience in contributing to courses and training. TU Delft (Delft University of Technology
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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deposition infrastructure Opportunities for professional growth and networking Competitive salary and benefits package The contract duration is initially for two years with the possibility of extension and a
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interdisciplinary research program. The project also provides excellent opportunities to develop expertise in AI for biodiversity science while building a strong publication record and collaborative network
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code Developing agentic AI workflows for specification autoformalization, proof generation, and proof repair Build a strong network in the fields of formal verification, systems, and ML infrastructure
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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-sequencing datasets from across a large, international collaborative research network. The role involves establishing a robust pipeline to generate a transcriptome-wide map of STR expression in PD brain tissue