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, including developing standardized protocols, assisting in facility design, and training cellular agriculture operators; support the training and development of research scientists and technical staff
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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for agriculture, offering a key solution for Europe's climate and energy transitions. Conventional ammonia synthesis via the Haber-Bosch process is operated at large scale (over 160 million tons
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, and partially paid parental leave; working hours that can be discussed and arranged so that they allow for the best possible work-life balance; there is a strong focus on vitality and you can make use
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crystallography or cryo-EM techniques is advantageous Interest in metabolic engineering and synthetic biology Ability to work in a highly collaborative international project and able to undertake international
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to grow by 20% by 2030, these challenges require a shift from isolated logistics operations to collaborative, connected logistics networks. Upcoming policy measures, including kilometre chargers, CO2 caps
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to contribute to a collaborative work environment based on transparent communication and a positive and respectful attitude towards supervisors, colleagues and students. You have an excellent command of English
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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will work with existing FH patient cohort data sets from France, Portugal, Czech Republic, and Turkey, which will be expanded with multi-level multi-omics data, including genetic, transcriptomic
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game in Virtual Reality. For this, knowledge of experimental design and specifically VR is required. You will also work closely together with our swarm robotics lab to ensure the creation of comparable