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recent years in conjunction with Variational Monte Carlo methods and efficient optimization techniques to obtain excellent representations of the ground state of many-body quantum systems
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within a Research Infrastructure? No Offer Description Techniques based on formal methods for the verification and validation of embedded and safety-critical systems are becoming increasingly important
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microfabricated in the FBK cleanroom facilities. The goal is to optimize individual circuit elements and to realize complete devices capable of generating entangled microwave states of light, which are essential
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within a Research Infrastructure? No Offer Description Modern robotics is at a pivotal point. While traditional learning-based methods have shown success in navigation and manipulation, they remain
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2026/2027 – 42nd Cycle (hereunder called Selection Announcement). The PhD Course table (Appendix 1) specifies the fields of research, plus candidate selection criteria and methods so that a ranking may
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signal patterns that can be exploited for decision-making. In this project, such patterns are referred to as contextual radio cues. Rather than being physical elements of the map (e.g., walls or obstacles
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, aiming at improving the information extraction and the of icy planetary bodies subsurface by radar sounder data processing. The selected candidate will be expected to develop novel machine learning methods
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methods, complemented by simulations of beta-decay chains relevant to post-fission energy release. Neural networks and other machine learning techniques will accelerate the discovery of radiation-resistant
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michele.compare@aramix.ai Requirements Research FieldComputer science » Modelling toolsEducation LevelMaster Degree or equivalent Skills/Qualifications Strong expertise in Bayesian methods, python coding
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and other effectors (such as antimicrobial peptides) against specific pure culture bacteria by using methods developed in objective i); iv) analyse in silico and metaproteomics phageome present in