626 algorithm-development-"The-University-of-Edinburgh"-"The-University-of-Edinburgh" positions in Denmark
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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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develop ECE at Aarhus University. The announced position will support the strategic agenda of the university by extending the competencies in ECE within the Electrical Energy Technology section , including
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D
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transition. It addresses challenges such as volatile energy prices, inequality, and household risk exposure, while developing policy-relevant insights for fair and efficient energy systems. A consortium of
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research environment with a strong scientific and social network for postdoctoral fellows and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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Professor - Neutron-Based Research of Colloidal Systems in Food Science, your role will be to develop the research within the Center regarding the use of neutron-based and other state-of-the-art
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. We seek a candidate who will strengthen our research on the formation and evolution of the first stars and galaxies, while also contributing to astronomical instrumentation and the development
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diseases. In this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate
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-developed research infrastructure, acoustic laboratories and access to shared equipment and novel bioacoustic tools. An exciting interdisciplinary environment with many high level national and international
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impact.´ Job Content, Responsibilities, Tasks, and Qualifications Your overall focus will be to develop and apply novel bioinformatics methods that reduce bias and improve the accuracy of genomic analyses