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audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in Data-Driven Evolution and Biodiversity is part of
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(radiomic) data analysis. The PhD student will implement an AI-based pipeline to extract various metrics from brain magnetic resonance images. This will involve a research visit to the Resilient Brain Lab
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possess a Master’s degree in Computer Science and Engineering, or a closely related field such as signal processing, machine learning, statistics, or bioinformatics. Expertise in image analysis and deep
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Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a PhD student. The student will be part of the Biophysics Unit of the KTH Royal Institute of Technology, located in
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group Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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precision medicine is expected to use existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. In this PhD project, we will use proteomic and genetic data from
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gathers a unique combination of expertise in computerized image processing, human computer interaction, and computing education. SciLifeLab BIIF is administratively placed here, and offers education and
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. Experience of image analysis, machine learning or related fields. Practical experience of programming. An interest in multi-disciplinary research. Awareness of diversity and equal opportunity issues, with
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collaborations enables PhD students at the department to participate in relevant research projects and prepare for an international research career. This PhD project in Neurochemistry aims to study the role