154 affective-computing-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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(MRS) and Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore, MD. Our lab investigates how epigenetic context affects genome maintenance pathways, and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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Eichen 87 12205 Berlin GERMANY www.bam.de Prof. Dr. Birgit Skrotzki will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-1520 and/or by email
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photonics, nonlinear optics, and frequency metrology is highly desirable. Specific skills of interest include design of integrated photonics devices using commercial computational electromagnetic modeling
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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pathophysiological conditions. You will have the opportunity to develop new exciting projects involving changes of bone marrow microenvironment and its impact on aging blood system; transcriptional dysregulation
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scientific work. The project will involve experimental and computational work, and the candidate is expected to be comfortable with working independently with both. Practical experience with structural biology
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analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring