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algorithms for molecular graphs, 3D structures, and spectral signals. Train and evaluate multimodal foundation models on high-performance computing clusters (Jean Zay, CRIAN, LPC). Collaborate with domain
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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field. Strong background in network security and privacy, particularly in communication protocols and distributed networked services. Demonstrated expertise in software development and programming
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, or guides) that advance collaboration and knowledge sharing in vector-borne disease systems. Conduct research on tick distribution and tick-borne disease risk using climate-informed predictive modeling and
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power electronics converters. This transformation drastically enhances bottom-up flexibility opportunities, that can be aggregated from distribution and routed towards the transmission level. However
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score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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development and distributed sensor networks, climate modeling, and Artificial Intelligence/Machine Learning. The position also offers meaningful engagement with academic, industry, farming communities and
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institutions, and contribute to advancing knowledge in their respective fields. Program Highlights 1. Duration: Our joint postdoctoral program has a duration of four years, with an equal distribution
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Religious interpretations of intelligence, consciousness, agency, or creativity AI and religious authority, leadership, or governance Algorithmic bias, justice, and religious communities AI in ritual, worship