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collaboration with research partners at the CNRS, France. It represents fundamental research, but it is expected that the outcome will lead to new design strategies for improving mechanical properties in metallic
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of AI-enabled progress, through integration of domain expertise, physics-based models, simulation-driven learning, and sensor data processing. The new tenure track position at TU Wien targets
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wire grades in combination with adapted and sensor-supported process variants. SCIENTIST (M/F/D) RESEARCH LEAD FOR WIRE-BASED ADDITIVE MANUFACTURING (WAAM) LKR Light Metal Competence Center Ranshofen For
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University Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational
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Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry
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the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and
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measurements. The project aims to improve the energy efficiency of heat treatments in the aluminum industry through intelligent sensor technology.
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Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High
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including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High level of both spoken and written English (official certificate not required) High interest
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Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High