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leveraging cutting-edge technologies. This position offers an exciting opportunity to develop a research program in tissue biology using state-of-the-art methodologies. The successful candidate will receive
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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-based fixed term until 30.06.2028 Remuneration: collective agreement of the German Länder, TV-L E 13 Founded in 1817, the Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s major
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algorithms and software for large-scale scientific applications. Expertise in programming in a high-level language such as R or Python. Experience and skills in interdisciplinary research involving
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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English Technical skills: Strong programming skills in R or Python. Additional experience in, for example, C, C++, MATLAB, or Julia would be a plus Bash scripting in a Linux environment, ideally tailored
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documents. A well-qualified candidate will also possess: Advanced scientific programming skills using a variety of computer languages, including but not limited to Python, C, C++, and Fortran. 5 years
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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production with an associated photon. • Technical skills in the use of columnar analysis approaches with python. Desired Qualifications • Experience with C++ programming. • Experience in developing