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Field
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biology bioinformatics genomics and proteomics microbiology and microbiome science ecology evolutionary biology Our concept is supported by the facilities available at the participating laboratories
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nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests
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Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms
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to make infrastructures and production more effective and energy-efficient, with algorithms that autonomously learn the behaviour of technical and socio-technical systems and make optimal decisions without
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the setup and tuning of active control algorithms. The most successful sensor prototypes are foreseen to be deployed in ETpathfinder seismic filters and could potentially be used for the stable recycling
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energy resources. The expected outcomes include technical advancement of distributed algorithms for managing energy resources at customer premises. The benefits include more resilient, secure, private, and
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validation of linear-scaling electronic-structure and optical-response methods. This includes the advancement and use of efficient algorithms, benchmarking against established approaches, and application
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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activities as required. Implementing and testing algorithms in high-performing open-source scientific software. Be prepared for changes to your work duties after employment. Required selection criteria You
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the independent scientific research necessary for the completion of a doctorate. The limitation complies to § 2, 1 WissZeitVG. Job profile – We require •Strong interest and motivation in conducting evolutionary and