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conduct research in a collaborative environment. Where to apply Website https://www.academictransfer.com/en/jobs/360011/phd-in-femtosecond-optical-appr… Requirements Specific Requirements A master’s degree
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to independently and creatively work in a diverse interdisciplinary environment is essential. You will be a crucial partner in the DUV-team. As such, clear communication and skills and a team-player attitude are
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in a diverse interdisciplinary environment is essential. You will be a crucial partner in the DUV-team. As such, clear communication and skills and a team-player attitude are crucial requirements. Due
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international work environment in the heart of Amsterdam; an enthusiastic and professional academic team. This is where you will be working You will be part of the Amsterdam School for Regional, Transnational and
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the opportunity to work in a highly collaborative and interdisciplinary environment where fundamental research is closely linked to application. You will interact with leading experts in materials science
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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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critical care physiology. Collaborative across disciplines – You communicate effectively with clinicians, engineers, and researchers, and feel at home in a multidisciplinary environment. Clear and persuasive
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environment. Clear communicator – You demonstrate excellent written and spoken English and can present scientific findings with clarity and impact. What we offer At Maastricht University, you’ll work in an
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
wastewater and the environment has become a problem of growing concern. Although some compounds are easily biodegradable, many exhibit a strong refractory character which makes conventional biological
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, and how AI systems can remain responsive to contextual knowledge in real decision environments. Another possible avenue concerns theorising with data, focusing on how inductive machine learning