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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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-term coevolution experiments to study the evolution of metabolic cooperation Generate and characterize bacterial mutants Perform coculture experiments with different bacterial strains to determine
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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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: · Developing LCI models and using LCA to assess different scenarios of energy storages in batteries, as well as the realization of preliminary LCAs for novel substances. · Collecting and organising data
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charge of: · Developing LCI models and using LCA to assess different scenarios of energy storages in batteries, as well as the realization of preliminary LCAs for novel substances
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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position within a Research Infrastructure? No Offer Description Department of Soil and Environment You will be part of a research team working in different projects related to agricultural water management