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information storage. However, most DNA storage systems remain passive: data are written, archived, and read. This PhD project will help pioneer a new generation of dynamic DNA data storage systems capable not
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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://www.academictransfer.com/en/jobs/363714/phd-on-nanoswitches-for-continu… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in engineering sciences and/or analytical sciences, e.g
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. The ability, under supervision, to structure, process and analyse research data and to document and present scientific findings. A meticulous, analytical, and responsible approach to work. Meritorious
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environment, combining academic research, industry-based preclinical development, secondments, network-wide training and transferable-skills development. PhD project For this position, the recruiting
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, see Section 6-1 of the PhD regulations for more information You must have a relevant Master's degree in mechanical and industrial engineering, chemical engineering, chemistry, and materials science or
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. Empa is a research institution of the ETH Domain. At Empa's Laboratory for Biointerfaces and Center for X-ray Analytics , we develop and characterize advanced nanosystems for biomedical applications
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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment