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production and utilization will be crucial to mitigate malnutrition and major societal conflicts. Chemical analysis of volatile food markers could play a pivotal role for the European “farm-to-fork” strategy
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these open research challenges: Specificity of the sensor towards selected proteins: Enhancing the contrast for specific proteins Data analysis: Improving data analysis approaches for capturing more
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developing automation solutions to help make it a reality. Strong programming, modelling and data analysis skills in Python support you in contributing to our ongoing software development efforts. Your spoken
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or related fields Good written and oral communication skills in English (C1 or higher) Some knowledge of data analysis and a willingness to familiarize yourself further with relevant scientific software tools
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transformers, and some practical experience on the software stacks for training and inference Familiarity with computer architecture and parallel programming The PhD student will work with RISC-V computing
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behavior and actions. The research conducted as part of the PhD will focus on the analysis of multi-modal signals from the sensors in mobile and wearable devices. Candidates will work on novel processing
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data analysis using software such as R or Python Knowledge of psychological theories related to stress, mental health, and resilience Excellent written and oral communication skills using English Ability
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with an understanding of circular economy practices Knowledge and experience in data analysis and database management, optimization, platforms and marketplace development, computer vision and machine
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neuronal networks, iPSC differentiation and cancer biology as well as knowledge of programming tools and data analysis methods are important assets. Being successful in the interdisciplinary field of neural
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knowledge of programming and data analysis and a willingness to familiarize yourself further with scientific software packages (e.g., scripting languages, GIS software, MATLAB, R, Stata, etc.) Enjoyment