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and understanding of data-dependent and data-independent acquisitions (DDA, DIA). Preferably, experience with FAIR workflows including use of open science software and chemical informatic resources
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, Chapter 7, Section 39). Applicants must: Be proficient in at least one statically typed programming language. Have substantial experience of developing software (e.g. projects with > 10k lines of code
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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chip-to-world interfaces and control software for experimental equipment. Strong skills in CAD-based design tools We require good oral and written skills in English. Additional qualifications It will be
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computational free energy calculations. Familiarity with contemporary MD software packages and analysis tools is necessary. The candidate should demonstrate strong problem-solving skills, attention to detail, and
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new era of quantitative and predictive biology. Install, configure and maintain Linux servers (hardware and software) Manage clusters, software environments and automation tools (e.g. Ansible) Develop
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, bioinformaticians, and software developers, both within Clinical Genomics and in collaboration with healthcare professionals at Karolinska University Hospital and research groups at Karolinska Institutet. By applying
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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive