48 data-"https:"-"https:"-"https:"-"https:"-"Uppsala-universitet" PhD positions at Technical University of Denmark
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characterization, dual-comb applications, numerical simulations, and data analysis. You will play a leading role in disseminating research results and actively participate in collaborative projects. You will also
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., cloning) and/or genome engineering Experience with mammalian cell culture (cell lines; experience with primary immune cells is an advantage) Experience with Programming/data analysis skills Interest NGS
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attention. We ask what can be done with experimental lab data in cases with variations of anisotropy. In addition to research tasks, you will take courses for 30 ECTS and both general and specific topics, and
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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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metrics with simulated quantities. Bridge theory and experiment as part of an interdisciplinary center with access to systematic data from high-throughput experimentation to refine and validate your models