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-generation materials that complement sensory control and align with the structural innovations. The position will involve laboratory-based research, data analysis, scientific communication and close
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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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cyclic liner tests Building the measurement chain from displacement sensors, pressure measurement, data acquisition to running the supporting laboratory tests Assessing the levelised cost of hydrogen
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known, data are noisy and sparsely sampled, measurements vary across individuals and conditions, and some relevant biological states are unobserved. Purely data-driven models offer flexibility, but often
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provide interpretable descriptions of biological processes, but they are often incomplete: mechanisms may be only partly known, data are noisy and sparsely sampled, measurements vary across individuals
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studied research group. Analyzing data collected in ethnographic work Finishing a doctoral dissertation on the topic of how the introduction of AI influences scientific problem solving, and ultimately, the
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conservation. The doctoral researcher will focus on seed dispersal networks across Europe. The successful candidate will combine large-scale ecological datasets and species trait data, and use
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practices of the studied research group. Analyzing data collected in ethnographic work Finishing a doctoral dissertation on the topic of how the introduction of AI influences scientific problem solving, and
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resilience. Understanding and promoting response diversity is therefore essential for conserving biodiversity and supporting resilient ecosystems in a changing world. The Doctoral Candidate will use data
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networks across Europe. The successful candidate will combine large-scale ecological datasets and species trait data, and use quantitative analyses to investigate how novelty of ecological networks