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Field
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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carrying out and optimizing research methods, writing SOPs, and passing on know-how to the research group; and Mentors students and/or postdoctoral researchers on research projects, including meeting one
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research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models. · Perform
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collaborative research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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replication, pathogenesis, and host-fungi interactions to inform rational drug design and optimization of antifungal therapeutics. Collaboration and Project Management: Coordinate with multidisciplinary teams
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experience in power electronics (10%) 2. Design and optimization of power supplies. (20%) 3. Modelling and control of power converters and energy conversion systems (DC Microgrids,…). (20%) 4. Digital control