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School of Engineering Sciences at KTH Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the...
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Karolinska Institutet, Department of Microbiology, Tumor and Cell Biology Do you want to contribute to top quality medical research? The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts research and teaching within immunology, infection biology, cell...
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus...
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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School of Engineering Sciences at KTH Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI...
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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We are seeking a postdoc to become part of our research team. Research will be conducted at the Günther Lab within the Human Evolution Program within the Department of Organismal Biology
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, the national DDLS research school, and other training and networking opportunities throughout Sweden. The successful candidate will be further affiliated with the Laboratory for Molecular Infection Medicine
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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a