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on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
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/ ) at the centra for molecular life sciences – SciLifeLab. The project takes place in collaboration with researchers at the centra with the goal of analyzing cellular processes on the nanoscale. Project aims and
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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/jobs/341970 The interviews will start in November 2025. For more information about AMBER, application and evaluation process, visit: ambercofund.eu Minimum Qualification requirements are: Maximum 8 years
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focuses on the development of new materials and processes for electronics packaging and bioelectronics applications. The research of the electronics packaging group in the Electronics Materials and Systems
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. It may also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be
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analysis related to sampling, optimisation and learning problems in high dimensions. Examples of current research topics include convergence analysis of Markov processes, efficient Monte Carlo methods, large
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at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip
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therapeutic strategies that efficiently target currently hard-to-treat ovarian carcinomas. Work responsibilities The successful applicant will independently perform animal experiments with human ovarian
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relevant to the subject area. In the appointment process, special attention will be given to research skills. We are looking for candidates with wet-lab expertise in RNA biology and next-generation