75 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Nature Careers
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum
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) Limited until: 31.05.2027 Reference no.: 4634 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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, social-emotional and behavioral. The successful applicant will be affiliated with the Institute for Teaching and Learning situated within the Department of Education and Social Work (DESW). The
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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assays, molecular biology, and rodent biology is required without exception. The ability to learn and adopt new techniques, particularly bioinformatics, immunohistochemistry and flow cytometry, is
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presentations at international conferences Willingness to learn and interest in interdisciplinary applied research We offer: A varied and challenging job within a top-class network from politics, science