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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Prof. Dr. Eberhard Bodenschatz, who directs the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). We are an international research institute conducting both experimental and
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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headed by Prof. Henrik Birkedal uses a broad selection of tools with special emphasis on X-ray imaging techniques and diffraction, both done in house and at synchrotrons. Our research group uses a variety
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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headed by Prof. Henrik Birkedal uses a broad selection of tools with special emphasis on X-ray imaging techniques and diffraction, both done in house and at synchrotrons. Our research group uses a variety
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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received after the review date will only be considered if the position has not yet been filled. Position description The OctoPath Lab (www.octopath.org ), led by Prof. Lipkova, is seeking applications from
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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Networks, and ICT Services & Applications. Your role We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful
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.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C