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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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learning, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference
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general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and trends in the field SKILLS Outstanding proposal and paper writing skills
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. - Experience of archival and document management tools and resources, statistical methods and editing publications for scientific and cultural dissemination. - Experience of participating in state-funded
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-compatible temperature control systems, proven by documentation ○ Quantum estimation, proven by a publication track record ○ Construction of major experimental setups with cold atoms and quantum light, proven
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Demonstrated research expertise related to real-time computer graphics programming
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estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in a topic that involved Bayes factor hypothesis testing. You can
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of study aims. Key Responsibilities: · Research (85%) o Designing and performing experiments in a methodical, scientific manner using advanced biomedical research techniques o Developing and