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managed sanitation, automated toilet systems equipped with IoT sensors, intelligent controls, and real-time monitoring capabilities are essential for addressing this global challenge. This multidisciplinary
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
on SEM-based mineralogical data # Implementation of the automated workflow into the control system of the TIMA instrument for a freely definable number of chemical elements # Estimation of the overall
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command of English (min. B2). Preferred: • Experience in C and data engineering; • Previous experience in database development and/or maintenance; • Knowledge of Large Language Models (LLMs) applied to data
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
optimization. The research focuses on creating efficient design workflows, validating multiple additive manufacturing approaches, and developing scalable production methods that can support global deployment
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technically sophisticated and genuinely user-friendly. This project aims to develop a comprehensive AI-driven software platform for smart sanitation systems that serves multiple user groups through tailored
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, including, but not limited to, participation in conferences or workshops. Benefits The scholarship provides a one-off payment of $1000. Amount: Up to $1,000 Duration: One-off Quantity: Multiple Eligibility
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is looking for adjunct faculty/part-time instructors. This position is unique as multiple campuses (Bristol Bay Campus, Chukchi Campus, Kuskokwim Campus, and Northwest Campus) within the College
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digital content in multiple languages related to the activities of the INOV-NORTE project, contributing to its dissemination; 3) Collaboration in the organization, facilitation, and certification of events
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institutions. The objectives to achieve within this project are: Collaborate on maritime sensor deployment planning. Automate data collection and post-processing of maritime-sensor live feed. Create surrogate
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corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence