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                challenges. Disseminate results through scientific publications, technical reports, industry publications and through presentations at national and international conferences. Profile PhD degree in engineering 
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                into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer 
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                their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in 
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                science, nanofabrication, and large-scale facility experiments to advance our understanding of emergent magnetic phenomena. Profile You have outstanding qualifications with a PhD in physics, materials 
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                The candidate should have a PhD degree in Microbiology, Biotechnology, Biomedical Engineering, Materials Science, or a related discipline, with expertise relevant to antimicrobial materials and invitro testing 
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                chemistry, mechanical engineering, and microrobotics Contribute to scientific publications, conference presentations, and grant applications Supervise and mentor students involved in related projects Profile 
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                have a PhD degree in Microbiology, Biotechnology, Biomedical Engineering, Materials Science, or a related discipline, with expertise relevant to antimicrobial materials and invitro testing. Key 
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                of scientific publications and presentations at scientific conferences Collaborate closely with a team of chemists, materials scientists, and analytical chemists Your profile PhD in chemistry (or a closely 
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                to estimate annual carbon and water budgets. You hold a PhD in plant physiology, urban ecology, or a related field, and possess strong quantitative and scientific writing skills. You demonstrate excellent 
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                : extremal graph theory, Ramsey theory, probabilistic combinatorics. • Candidates should have (or be near completion of) a PhD in mathematics. • Candidates should have a strong research record in Combinatorics