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specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E-Mobility from an User Perspective (EMUP
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project “Single cell multi-omics to unravel niche plasticity in AML therapy resistance“ we are looking for a PhD student. The project is part of the SFB/CRC 1709 “Cellular Plasticity in Myeloid Malignancies
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August 2025 Apply now This PhD position is part of the NWO-funded research project TACIT (Inclusive Technologies for Access and Social Participation). The project focuses on the co-design of inclusive and
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week, of small group teachings and tutorials. The person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and
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Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy Professor A C Ferrari or
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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect
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the molecules are preferentially rotating like a helicopter or a cartwheel before they collide with the surface. The PhD project, part of a prestigious Future Leaders Fellowship project (MR/X03609X/1), will
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administrative, educational, and legal domains. The successful candidate will become part of the Centre for Machine Learning . The centre is part of the Data Science & Statistics section at the Department