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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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models to estimate, validate, and optimize the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University
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from Marrakech. Department: Green Tech Institute (GTI) Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar Entities
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urgent to address the sustainability of database queries. The GREENSQL project tackles this challenge by combining reproducible measurements with advanced AI models to estimate, validate, and optimize
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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Researcher (R2) Positions PhD Positions Country Poland Application Deadline 30 Sep 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization