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of Task 2 (VEP and ERG measurements) and partially Task 1.3 (optoretinography measurements). In addition, he/she will oversee the work of the PhD student. She/he will: - develop effective methods
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must have completed a PhD study within physics, chemistry or materials science, and with the incentive to perform interdisciplinary research Experience with physics and/or chemical modelling The ability
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join our multi-disciplinary team of researchers, including immunologists, PhD students, physician-scientists, and bioinformaticians. The postdoctoral fellow will work in an NIH-funded laboratory and will
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related
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Position Description Postdoctoral position in the research group of Laszlo Erdos at ISTA, near Vienna. The main focus is on random matrices and related fields. PhD in mathematics or physics is required
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to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field*** Demonstrated expertise in
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collaborate with each other as well as with other PhD students and postdocs to create new knowledge and synergies across related research activities. In this project, the postdoc will investigate a series of
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: Essential criteria PhD awarded in cardiovascular related research * Experience in cardiac MRI data acquisition and analysis in animal models of heart disease Experience with preclinical research models
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MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in computational science Working knowledge of machine learning and deep learning 3