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Field
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for the position. Preferred selection criteria Knowledge of digital assurance frameworks, verification methods, or formal modeling Familiarity with adaptive or machine learning/artificial intelligence systems
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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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epidemiological methods and statistics equivalent to that which may be gained in a degree programme like MSE, MSc Epidemiology, MPH, or MSAE. In individual cases, when such a formal degree is lacking, successfully
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of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 18 days ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
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to complementary expertise in energy systems, spatial analysis, and artificial intelligence. The PhD position will be formally hosted at Empa, with opportunities for research stays at partner institutions in
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an integrated interdisciplinary PhD programme that consists of three main components: 1. An interdisciplinary research project that combines concepts and methods from different fields. 2. A substantial programme