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an ability to supervise and assess students at all levels of education • an ability to vary teaching methods and examination formats in relation to intended learning outcomes and the nature
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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thermal and materials characterization including using RAMAN, FTIR, DSC, DMA, TGA, LFA and 3-Omega measurement methods etc. We seek candidates with the following qualifications: To qualify for the position
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framework as part of a joint research program. What will be your tasks? One of our research areas focuses on the variability of coastal and marginal seas across different timescales. Proxy- and model-based
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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, including a good ability to conduct, develop and lead teaching and other educational activities on different levels and using a variety of teaching methods. An ability to supervise doctoral students
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to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. For more information about our PhD program, please visit our information page. You will
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: Ability to plan, implement, and evaluate teaching, as well as to supervise and assess students at all levels of education Ability to vary teaching methods and examination formats in relation to intended
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(Master’s) level (or equivalent). By the start of enrollment in the doctoral program, the candidate must hold a Master’s degree, including a Master’s thesis equivalent to at least one term (30 ECTS credits
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department currently has approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have