14 deep-learning-phd-"Computer-Vision-Center" Postdoctoral positions at Umeå University
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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Intelligence group and the Deep Data Mining group at the Department of Computing Science, collaborating with researchers in, e.g., data science, machine learning, and responsible AI. More info about the research
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This position is intended as a career-development opportunity for early-career researchers. Priority will be given to candidates who completed their PhD within the past three years. Exceptions may be granted in
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, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in aquatic biogeochemistry, ecology
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manuscript preparation and the supervision of students. Eligibility The candidate shall have a PhD, or a foreign qualification deemed to be the equivalent of a doctorate in biology, genetics, biochemistry or a
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agreed research tasks. A PhD degree (or a foreign degree deemed equivalent) in Chemistry, Physics, Materials Science, or a closely related field. Documented experience in the synthesis and purification
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have a PhD degree, or a foreign degree deemed equivalent to a PhD degree, in the relevant subject. This qualifications requirement must be met no later than the time when the employment decision is made