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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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for an excellent young life science or computational researcher to become Group Leader. Fellowships are targeted towards applicants to start their first independent group within a few years of their PhD. We offer
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active
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addressed in the project are outlined in Ryczko, Simon, Ijspeert, 2020, Trends in Neurosciences and references within. Entry requirements We are seeking an ambitious fellow with PhD and with a background in
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practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
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education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two
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experimental and theoretical approaches. Requirements: Well-documented expertise in any of the following areas: next-generation sequencing data analysis (singe cell and spatial sequencing). PhD in