13 post-doc-image-processing-"Multiple" Postdoctoral positions at Nature Careers in Sweden
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
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), Opn4 and Opn5, as photoreceptors not directly involved in image-forming vision has opened up for non-visual opsin studies. Our recent publication, using GFP reporter mice, provides evidence of early
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collaborators are also included. Eligibility The eligibility criteria for employing teaching staff are set out in Chapter 4 of the Higher Education Ordinance and in the Appointment Procedure for Teaching Posts
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or
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related field, with a focus on computing or data science. Additional requirements are: Significant experience in bioinformatics, genomics, computing, machine-learning, or other data science area
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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experience aligns with the project, Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems