820 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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your talents Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Claudia Funke Phone: +49 6221 42-3248 The position is initially limited to 1 year with
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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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fundamental and/or translational research program. The successful candidate will contribute to expanding knowledge in one or more of the Institute’s priority research themes namely1) structural and
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and innate immune memory. We are seeking an outstanding investigator to lead an innovative research program in innate immune memory and its role in respiratory infections, environmental exposures, and
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phenotyping cores, pilot grant funding mechanism, a NIH T32 training program, and a weekly seminar series inviting nationally recognized speakers.
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you bring: Bachelor’s degree along with a minimum of 2-3 years related administrative experience is preferred, or an equivalent combination of education and work experience. Strong computer skills using
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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electromagnetic methods in Geophysics Proven in-depth experience in programming numerical applications (e.g. with C++, Matlab, Python, Fortran) and using high-performance computers (HPC clusters) Ability and
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to support applications in genomic diagnostics. Have obtained a MS degree with 3+ years of experience or PhD in bioinformatics, computational biology, computer science, or related field. Have a deep
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of cortical neurons. We aim to understand how connections between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches