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make detailed measurements of glymphatic regulation using advanced imaging techniques. The successful candidate will have completed a PhD or a PhD near completion in cell biology, bioengineering
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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply
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12 Dec 2025 Job Information Organisation/Company Universidade Católica Portuguesa - Porto Research Field Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Positions PhD
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. The Medical University of Vienna provides an excellent research environment including state-ofthe-art research core facilities and an international PhD program and various platforms which bring together
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certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. Complete list of publications, indicating your specific contributions. Deadline
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19, listed until 2026/06/19) Position Description: Apply Position Description The Duke Quantum
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19, listed until 2026/06/19) Position Description: Apply Position Description The Duke Quantum
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presentations; Collaborate with internal teams, partner laboratories, and industrial stakeholders. Candidate Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or
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documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems
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publications and technical deliverables. Work closely with fellow researchers to interpret results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science