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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
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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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Offer Description Included in Project 101226989 — CHARM (Conservation Heritage Architecture, buildings and sites by Resilient Methods: hydro-climate factors), financed by European Research Executive
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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problem-solving attitude, with a hands-on approach to troubleshooting and method development. Documented experience in coaching/mentoring junior scientists (students, interns, junior PhDs). Innovation
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, Materials Science, or related fields). experience with electronic-structure methods (e.g., DFT/TDDFT, excited states, highly-correlated method) and/or electromagnetism/plasmonics at the nanoscale; good
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://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
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relational skills; Strong orientation to results, determination, flexibility and aptitude for problem-solving. Furthermore, the following elements will be positively evaluated: Understanding of regulatory
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to translational research on autism spectrum disorders (ASD) and MS, challenging traditional reductionist methods by integrating philosophical assessments with innovative experimental designs across