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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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information about us, please visit: www.dbb.su.se . Main responsibilities We are looking for a highly motivated staff scientist to join the In Situ Sequencing (ISS). While formally affiliated with DBB
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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%. Starting date June 1 2026 or as agreed. Placement: Uppsala For further information about the position, please contact: Magnus Lundgren, Head of the Ancient DNA unit, telephone: +46 18 471 26 96
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Contact information to trade union representatives . To apply for the position Log into KTH’s recruitment system in order to apply for this position. You are responsible to ensure that your application is
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driving excellence in biology-, technology-, and data-driven research, SciLifeLab fuels innovation across health care, environmental sustainability, industry, and society, thereby ensuring that Sweden