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Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable
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encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org What You’ll Do
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together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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channels and ion channels carrying disease-associated mutations. Qualifications We are looking for someone with a PhD degree in medical sciences or similar. Good knowledge in electrophysiology, ion channel
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reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration. We are looking for a candidate who completed their PhD dissertation between 1 and 3
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
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into consideration. The applicant must have, or be about to receive, a doctoral degree in a subject relevant to the research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or