23 network-coding-"Chung-Ang-University" Postdoctoral positions at Technical University of Denmark
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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academic network. Responsibilities You will co-lead the development of advanced thermal systems for industrial decarbonization; you will be responsible of development of advanced thermal systems
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background checks may be conducted on qualified candidates for the position. The time-predictable computer architecture group, where you will be embedded, researches computer architecture, network-on-chip, and
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of Denmark. The position is part of a larger EU project entitled “FEDORA - Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient
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of complex microfluidic hydrogel networks, integration of micropumps for bubble-free aseptic perfusion, and non-contact mapping of multiple metabolites during tissue culture. You will be working on all aspects
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contribute to other educational activities Attract research funding with support from the department Disseminate your work at conferences and peer-reviewed journals Network with international research bodies
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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maintain and develop the gravity and height networks of Denmark and Greenland on behalf of their respective governments. Responsibilities and qualifications As a post doc working with airborne gravimetry
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a