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clinical service, appointments of trust in trade union organizations, or similar circumstances. Doctoral degree should be within bioinformatics, machine-learning, computational biology, genomics, or a
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
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documented ability to teach in Swedish or in English. If exceptional reasons exist, an applicant who currently lacks the ability to teach in Swedish may be assumed to be able to acquire that ability within two
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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. The appointment as Assistant Professor is an entry-level faculty position with tenure-track whereby the employee has the opportunity to acquire both pedagogical and scientific qualifications. Each new Assistant
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for each position. PhD position in Advanced Lipid-Based Cellular Membrane Mimicry and Interaction Studies PhD position in Holographic Duality and Machine Learning PhD position in Next-Generation Nanomaterial
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and biology of infection with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine