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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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programme, applicants must have: A Master’s degree (or equivalent); Completed at least 240 ECTS credits, including at least 60 ECTS credits at the Master's level; At least 90 ECTS credits in Economics; At
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climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics together with TAIGA – Centre for Transdisciplinary AI is recruiting a PhD student
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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your application! We are looking for a PhD student in Medical Science, as part of the larger EU Marie Curie MCSA Doctoral Network STEM-CORE. Are you passionate about working with stem cells or stem cell
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candidates for a project in materials chemistry focusing on earth-abundant cathode materials for sodium-ion batteries. The position is based within the Structural Chemistry research programme at the Department
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Clinical Sciences (BKV ). MMV carries out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral