42 web-programmer-developer-"https:"-"UCL"-"U"-"https:"-"PhD-Jobs" positions at University of Lund
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education, not least in the civil engineering programme ‘Technical Nanoscience’ at LTH. A significant part of the research at the department is focused on the characterisation of semiconductor materials. In
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We are looking for a candidate who, during two years as a postdoctoral researcher at the Centre for Theology and Religious Studies, wishes to develop their independence as a researcher and
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. The interdisciplinary research group is led by Professor Malin Malmsjö and Associate Professor Aboma Merdasa, and includes clinicians, physicists, and engineers developing optical and acoustic imaging technologies
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achieved this prestigious Triple Crown accreditation. The Department of Economic History has a well-established reputation for wide-ranging research programmes with an emphasis on long-term processes, based
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, and doctoral students. The department offers extensive doctoral education and coordinates two international Master's programmes as well as one Bachelor's programme. It has an established reputation
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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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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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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