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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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analyses on metabolomic and multi-omic datasets, contributing to cutting-edge research in inflammatory bowel disease. A key aspect of this role involves analyzing Raman spectroscopy imaging data from
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position will focus on scaling up microbial processes for the bio-upcycling of polyolefins, as part of a novel Horizon Europe Innovation Action project dedicated to the bio-upcycling of plastic waste. The
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Scientists of the country. The department has a strong profile within artificial intelligence and machine learning. The AI-ML team at the department is a multidisciplinary group of researchers working
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processes, material grading, and automatization of remanufacturing processes. The project will work closely with several industrial partners to develop operational solutions and real-world impact. The work
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parametrically coupled to ongoing electro-chemical reactions enabling operational optimization for lifetime. For instance, adjusting power, voltage, frequency etc. during operation for balancing degradation
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whether they have been shortlisted for assessment or not. When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position. Contact information
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Project Description The positions will be part of the MADE REACT research project, focusing on the design and operation of resilient manufacturing systems and factories. Global disruptions force
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clear focus on algebraic coding theory and its applications. Fluency in English is required. Familiarity with computer algebra systems as SageMath or MAGMA is a plus. The candidate should have a strong
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for assessment or not. When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position. Contact information You may obtain further professional