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Field
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positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and
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University places high value on in-person collaborations and interactions, and we expect selected candidates to participate in-person. Ph.D. is expected. The work location for this position is in-person
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interactions across a range of physical platforms to build large-scale, hybrid quantum networks. Our work spans rare-earth-ion-doped solids, alkali vapours, quantum dots, and nonlinear photonic media, aiming
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interactions, especially those that involve substantial uncertainty and limited attention. We study situations in which people have non-instrumental reasons to care about what they and others believe, as
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imaginative ideas and approaches. We’re not afraid to do things differently. We are open. We’re highly collaborative and interactive, and make sure our activities are visible to the outside world. We
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systems. The researcher will work on designing and evaluating techniques for testing AI-integrated software systems, including model robustness, test automation, and the interaction between traditional
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and validate therapeutic targets, generating IP. Key Responsibilities: Be an excellent team player and closely interact with physicians, bioinformaticians, industry partners as well as other researchers
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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Institution/Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview: We
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interactions of lncRNAs with various proteins, lipids and microRNAs etc. Research platforms in the laboratory include human embryonic stem (ES) cells, patient-derived induced pluripotent stem (iPS) cells, mouse