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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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. DTU Space is involved in the full life cycle of space activities, including concept and design, construction and proto-typing, calibration and validation, implementation and operations, data analysis
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers