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interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine learning and neuro-symbolic AI (e.g. neural nets
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environment. The full job description is available, here: https://drive.google.com/file/d/14vuatOC6NKg9w4j91r_Zb6KF8lTxUoe5/view?usp=sharing Job Requirements REQUIRED: A PhD in neuroscience, computer
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of September 2028. The starting date of this position is flexible but an anticipated start date is 1st September 2026. The successful applicant will be part of the lively research environment in Oxford which
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with Siemens Healthineers and both qualitative and quantitative image quality assessment. - Collaborative Environment: The University of Iowa provides a rich environment where faculty, post-doctoral
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, user-centered tools that support both in-person and remote education environments. Translate research findings into practical applications that support lifelong learning and pedagogical innovation
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matrix dynamics. The ideal candidate has the following competencies and skills: A PhD in biomedicine, or a related discipline such as biochemistry, molecular biology, medicine, cell biology, immunology
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… Requirements Specific Requirements You are an ambitious candidate with a PhD Degree in Physics, Physical Chemistry, Polymer Science, or a related field Have a strong interest in interfacial phenomena, soft
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. Qualifications PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, or bioinformatics. Strong background in population genetics and evolutionary biology. Proficiency in
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would also benefit from the expertise and collaborative environment of Dr Denk’s established research group, who study peripheral neuro-immune-stromal cell interactions in chronic pain conditions. Within
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in