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for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics
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multidisciplinary team of experienced researchers, closely collaborating with another PhD candidate who will focus on the data science, models and machine-learning aspects of the project. PhD researcher position in
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experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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science Artificial intelligence, machine learning, and data science Clinical and biomedical research You will have access to state‑of‑the‑art analytical platforms, computational infrastructure, and a
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, species-distribution data, ecosystem-condition data, field measurements, or other environmental datasets, using statistical, machine-learning, process-based, or hybrid modelling approaches to analyze
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lit. b (postdoc) Limited contract until: Job ID: 5948 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if
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. Details on the Department can be access on http://geographie.univie.ac.at/en/home/ . Your personal sphere of influence: The position is assigned to the research group Physical Geography ENGAGE - Geomorphic
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/ ) at the Department of Statistics and Operations Research (https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting
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Protection, Machine Learning/AI und Security und Security and Privacy of Decentralized Systems and Distributed Ledger Technologies. In the long term, we focus on understanding complex systems in order to