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Field
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two referees), a statement of research interests and achievements. Selection Criteria: A PhD in analytical biochemistry, biosensors, nanobiotechnology or equivalent qualifications; Ability to undertake
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for
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applicant will have an opportunity to work closely with a diverse scientific team that includes microbiologists, immunologists, cell biologists and bioinformaticians. Who You Are: Recent PhD in the field
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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, Immunostaining Assisting and handling mice work such as animal husbandry, live ophthalmic imaging, dissection, and processing of mice eye tissues Contributing to the writing and presentation of project updates
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collaborations relating to understanding disease heterogeneity through genetics, transcriptomics, imaging, and other biomarker data across human data sets. Success in these responsibilities requires a thorough