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GE rice plants, artificial intelligence (AI)-driven high-throughput phenotyping and multi-omic analytics and soil microbiome monitoring. The PhD project is embedded within the BIOCRAFT project
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of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
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into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
Offer Description INEGI is opening a call for applications for the recruitment of a PhD Researcher in the field of Scientific Artificial Intelligence, Optimisation and Computational Modelling Applied
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into an independent scientist. You have a background in machine learning and artificial intelligence and like to build novel methods for the analysis of biological data. You are methodical, curious and able to take
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https