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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
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analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
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tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
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design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the cilia research