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-based crop modeling, uncertainty characterization, digital agronomy, remote sensing Additional qualifications Further, we will prefer candidates with some of the following qualifications: Teaching and
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-based crop modeling, uncertainty characterization, digital agronomy, remote sensing Additional qualifications Further, we will prefer candidates with some of the following qualifications: Teaching and
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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; probabilistic program logics; logical relations for relational reasoning about safety, liveness, and security properties; formal modeling of low-level capability machines and secure compilation; program logics
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, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a
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informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project
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Committee. All applicants will be notified of their status in the recruitment process shortly after the application deadline. The applicants selected for the assessment will be notified about the composition
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project