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., Nature Cell Biology, 2018). The Teixeira lab investigates the roles of spatial organization in biological processes and develops DNA nanotechnology-based tools to map and manipulate membrane protein
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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
. The candidate must have hands-on instrumentation experience and ability to connect this to atmospheric radiative transfer through an understanding of data processing and analysis. A successful candidate will have
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at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 18 June 2025 (23:59 Danish time). Applications must be submitted as one PDF file
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: Gravitational Physics Appl Deadline: (posted 2023/09/28, listed until 2025/06/02) Position Description: Apply Today is the last day you can apply for this position; no new applications will be accepted after 2025
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Online applications must be received before 11:59pm on: July 6, 2025 If a date is not listed above, review the Applicant Instructions below for more details. Available Title(s): 306-YN_FACULTY
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document will provide information of what criteria will be assessed at each stage of the recruitment process. HR Use Only (Research G6 Clause): * Please note that this is a PhD level role but candidates who
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Networks, and ICT Services & Applications. The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite communications
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at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Interviews
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge