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to benefit from local knowledge and prevent further escalation of conflict. For more details on the project, please see here . About the position: The Postdoctoral Researcher will have the following tasks
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strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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Job Description A postdoctoral opening is immediately available in the Soft Materials and Structures Lab under the direction of Dr. Michael Bartlett at Virginia Tech (https://bartlett.me.vt.edu
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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humanities team to engage actively in the development of the “Mapping Sonic Ecumene: A Visual Archive of Sound”. This involves mapping and archiving sonic and visual representations of songs across South India
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knowledge representation • Agent-based and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced
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) the featural/structural representation of tense, aspect, modality, and related categories, (ii) syncretism, and (iii) non-concatenative morphology (broadly construed). Scholars with other research interests in
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research areas, please visit https://isor.univie.ac.at/research/ . Ideally, your research interests should match or overlap with those of an existing working group at the institute. Your future tasks: You