125 web-programmer-developer-"https:"-"UCL"-"U"-"Fraunhofer-Gesellschaft"-"https:" positions in Sweden
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, working with researchers to install and communicate their projects, working with the UmArts team to communicate the program and to assist with exhibitions open to the public. Evening and weekend work may be
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well as assist the course responsible teacher with related tasks, as in grading hand-in assignments, question hours, course development and other administration depending on the actual needs. The teaching
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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor
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enrolled in the Industrial Design Programme or in the Master's Programme at UID. - Have good social skills. - Be interested in media production according to the duties described above. It is an advantage
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assistant professor, you must: - Be enrolled in the Industrial Design Programme or in the Master's Programme at UID. - Have good social skills. - Be interested in workshop work according to the duties
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for an inclusive environment, based on collaboration and trust, where development towards an independent researcher is encouraged and supported. More information about the research group - www.bme.lth Subject
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higher education credits, and not have commenced PhD-studies. Qualifications Requirements for the position are that you: You must be a current active full-time student at a master's degree program in
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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an investor. Specifically, we aim to develop new methods for regime models, including automatically distinguishing between relevant and irrelevant data, developing appropriate model evaluation criteria