42 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Babes-Bolyai-University" positions at SciLifeLab
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Do you want to contribute to top quality medical research? Join our pioneering AI designed cyclic peptide engine project at Karolinska Institutet and SciLifeLab, where we are revolutionizing drug
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required for daily work. Preferred qualifications • Relevant university education in computer science or IT, or other technical education such as an engineering degree. • Education in Python, UI/UX, testing
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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of Gene Technology, SciLifeLab, as well as leading international research groups. The job involves developing and executing primary research projects in computational biology, leading to dissemination and
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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Uppsala UniversityDepartment of Materials Science and Engineering, 202100-2932 at the Division of Biomedical Engineering, Department of Materials Sciences and Engineering, Uppsala University
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship