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using R and/or Python for answering biological questions Strong commitment to research in a collaborative environment Enthusiastic and friendly personality WE OFFER: An international, multidisciplinary
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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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(e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C++ ability to work independently and collaboratively in
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optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
testing and non-destructive testing (NDT) in general is an advantage Knowledge of flexible sensor technology and electronics is an advantage Proficiency in at least one programming language (e.g. C, Python
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Experience with basic molecular biology techniques (PCR, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
partners # Enjoyment in working on complex scientific questions and implementing them experimentally # Confident use of scientific software (e.g. Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted