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Field
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well as approaches utilising the near-infrared (NIR), are opening up new possibilities for tailoring cross-linking conditions to specific formulations and desired properties. This thesis aims to understand
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diplomas for Bachelor's and Master's degrees. If you have not yet completed your Master's thesis, you must provide confirmation on your estimated date for the submission of the Master's thesis
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. through a master thesis project. previous experience working with materials characterisation, particularly for battery interfaces, is an advantage. knowledge of organic chemistry, particularly related
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average grade of an Honours degree equivalent to the First Class Honours Division A; OR A master's degree in a relevant discipline which includes a research thesis or project equivalent to at least 25
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candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The main supervisor will be Professor Ulrik Wisløff (NTNU). Professor Dorthe Stensvold (NTNU) and Postdoctor Atefe R
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duties Training and continuing professional development Your profile: A completed degree (Diplom or Master Thesis) in Computer Science or related fields Good knowledge and experience in the fields
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your Master's thesis, you must provide confirmation of your estimated submission date for the Master's thesis, or confirmation that your Master's thesis has been submitted. Applicants from universities
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consider task success, generalisation, reliability and computational efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will
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motivation Your curriculum vitae A summary of your master thesis max. 1 page List of courses and grades at Master and Bachelor level (in English). You can address your application to Dr. G. Keetels. Doing a
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demonstrated by a Master thesis; solid knowledge of quantitative and/or qualitative research methods; strong communicative and organizational skills, a cooperative attitude and commitment to team science