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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical reactor
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics datasets
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, data science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics