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-review journal papers is the preference Knowledge of big data analysis BSc/MSc thesis on topics like solar energy, building heating/cooling systems Approval and Enrolment The scholarship for the PhD degree
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collection, acoustic analysis, and processing of large datasets. The candidate must be familiar with programming and data analysis in at least one programming language. The candidate is expected to have good
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, pharmaceutics, and molecular biology to advance research and develop innovative solutions in cutaneous drug delivery for both small and large molecules. The successful applicant will have the opportunity
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will be 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
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interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse
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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 requirements and the
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. Responsibilities Your objective will be to create the bioinformatic tools that enables isoform-level analysis of proteomics data as well as apply them within proteomics. About Us My leadership philosophy can be
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: Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell) Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two
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Physics & Information Technology (QPIT) group at DTU Physics is seeking exceptional individuals to join our team as PhD students. We specialize in quantum information processing, quantum communication, and
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work on a large EU project, collaborating with other five institutions in Europe. You will break new ground at the optical neural networks (ONNs) by harnessing the power of a radically new digitized