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registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial
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spatial mass spectrometry. Experience with single-cell omics is also an advantage. Advanced biostatistics and machine learning, such as multivariate analysis, regularization, deep learning, or network
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methods relying on machine learning, artificial intelligence, or other computational techniques. Duties The position includes research, teaching and administration. Duties includes conducting research
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on machine learning, artificial intelligence, or other computational techniques. Main responsibilities Research and in addition some teaching and supervision. Qualification requirements In order to qualify
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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for version control. Ability to quickly learn new skills. High proficiency in Unix/Linux environments. Excellent verbal and written English skills. Additional qualifications In addition to the qualification
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of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. SciLifeLab SciLifeLab is an academic collaboration between multiple Swedish universities
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, e.g git. Experience of Linux/UNIX-terminal. Excellent communication- and collaboration skills. You speak and write English fluently. Meriting Experience of HPC or corresponding computer systems
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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sciences, and create partnerships with industry, healthcare and other national and international actors. We are now looking for an outstanding candidate with expertise in machine learning, bioinformatics