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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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of telecommunications techniques used in the Polish Armed Forces, knowledge of speech compression methods used in VoIP solutions, knowledge of the principles of designing devices for protecting classified information
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advanced epidemiological and statistical methods and collaborates closely with national register holders and multidisciplinary researchers in psychiatry, epidemiology, and biostatistics. Project description
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, according as defined by FCT, I.P. (https://www.fct.pt/apoios/bolsas/valores ). Selection process Selection methods: Eligible applications will be scored on a scale from 0 to 20 points, taking into account the
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. Formalization of applications: 14.1. Applications must be formalized at http://www.fe.up.pt/concursos , reference on-line nº 1412, until de 23h59m (local time) of 12-01-2026. The application must include: full
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selection method and final ranking lists, will be published on the website of the Human Resources Unit – Scholarship Holders' Center of the University of Madeira, http://urh.uma.pt/ , and the candidate will
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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
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for a fixed term due to it pertaining to method development and data integration in a specific project. A probationary period is applied to all new members of the staff. The salary of the position is
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minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025
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, etc.). Robust AI (knowledge of methods for quantifying uncertainty in deep learning or formal verification methods applied to deep learning) Embedded AI Reinforcement learning, supervised and