28 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Luxembourg
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advice, and vivid communication with the public. ULIDE's transdisciplinary work links Faculties and Interdisciplinary Centres across the University and beyond the boundaries of their respective disciplines
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prototyping (dSPACE and OPAL-RT); Background in communication networks and protocols; Familiar with networked controllers and meters; Proficiency in programming languages such as Python, Pytorch, HyperSim
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics,...
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Applications should include: A motivation letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works Copy of a publication The name, current position and relationship to the applicant, of one...
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Creating patient empowerment strategies to involve patient communities in drug development
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industrial partners · Actively collaborating with other researchers to promote interdisciplinary activities internally and externally · Mentoring post-doc researchers and PhD students
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partners. Ability to work in teams geographically located in different partner’s facilities. Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, stakeholders
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research methods building on Impresso’s corpus of multilingual newspaper and radio sources provided by a network of Western European partners Contribute to the design of the Impresso Web App and the Impresso
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communication efforts. As the leader of the Work Package on Talent Development, FSTM is responsible for designing sector-specific courses, managing the creation of micro-credentials, and organising events such as
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project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network