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Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is
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-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12
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-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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innovative postdoc to join our team. We are data-rich and need a professional-level data scientist to maximize our understanding of these data. The postdoctoral researcher should be passionately committed
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12 Mar 2025 Job Information Organisation/Company Lunds universitet Department Lund University,Faculty of Engineering, Dep. of Biomedical Engineering Research Field Engineering » Biomedical
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multidisciplinary team of translational scientists, physicians, statisticians, basic researchers and computational scientists. The candidate will be supervised by Dr. Ioannis Zerdes and will be part of
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for electrophysiologists who are interested in the studying molecular mechanisms by which mice learn and keep information in the brain. The lab’s research focus is to uncover experience-driven protein signaling mechanisms
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advanced spectroscopy, electrochemistry and device design and development. You will collaborate closely with other members of the group as well as external academic and industrial partners. For information
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chemical-analytical data processing. The project focuses specifically on method development in metabolomics and mass spectrometry-based data analysis, ranging from preprocessing of raw instrument data