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Field
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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(or equivalent) in both the thesis and the master's degree. Expertise in numerical modeling, programming, handling large amounts of data, and experience with AI and machine learning is an advantage. Good
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. How can we design and implement real‐time AI systems for immersive, dynamic, and ethical human‐machine
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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Computer Science, AI/ML, Computational Biology, Food Science with computational expertise, or a related field. Experience with natural language processing, machine learning frameworks (e.g., PyTorch
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance
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lipid membranes Applicants must be proficient with computer programing Fluent oral and written communication skills in English For 4-year position: sufficient oral and written communication skills in a
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to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies economic assessments machine learning or proxy-model based methods field