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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | about 7 hours ago
Starting Date 28 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2023.14098.PEX Is the Job related to staff position within a Research
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Trás-os-Montes
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waste treatment solutions. This multidisciplinary field combines analytical chemistry, microbiology, and environmental science to ensure sanitation technologies meet ISO 30500 standards while maximizing
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Intelligence and Machine Learning Research Project B in Trimester 1, 2026 Master of Data Science MATHS 7097A - Data Science Research Project Part A in Trimester 3, 2025 AND MATHS 7097B - Data Science Research
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with technical programming skills Data Science or Computer Engineering with interest in IoT and real-world applications Information Systems with experience in database design, API development, and system
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through this meaningful opportunity for emerging marine scientists. The main purpose of the Award is to motivate and support a woman student undertaking masters study in marine science, reflecting
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
for engineers who can seamlessly integrate design optimization with advanced manufacturing techniques. This multidisciplinary field combines mechanical engineering, materials science, and manufacturing technology
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Administration, Chemistry, Communication, Computer Information and Office Systems, Culinary Arts, Developmental Education, Early Childhood Education, Education, Emergency Medical Services, English, Fire Science
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investigate this hypothesis using a combination of state-of-the-art experimental omics technologies and integrative computational approaches. You will write several scientific articles on this research project
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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas