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programming languages (e.g., Python, R). Experience working in a LINUX/UNIX environment. An excellent molecular biology skillset. Experience with NGS library preparation supported by a strong publication record
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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Laboratory (SciLifeLab) and this position is part of the Data Driven Life Science program (DDLS). The lab is led by assistant professor Avlant Nilsson, with background from Massachusetts Institute
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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Clinical Translational Postdoc Program with the purpose of promoting interaction between the SciLifeLab research environment and clinical research environments at Karolinska Institutet. The postdocs
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and is part of the National Program for Data-driven Life Science (DDLS ), generously funded by the Knut and Alice Wallenberg Foundation. Our research is focused on the use machine learning + AI tools as