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, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods #excellent knowledge in UNIX/Linux and Unix-Scripting #very good knowledge in programming
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
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-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
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ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
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to the Baltic Sea region. Experience in running numerical ocean models and analyzing ecosystem model output. Experience using high-performance computing systems. Familiarity with operating systems such as Linux
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source software is required record of publishing in peer-reviewed journals experience with Git and GitHub and Linux environment is desirable as an internationally research institution, located in Germany
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
Demonstrated excellent programming skills in C++ and FORTRAN and editing source codes written in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux
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PostDoc with a background in bioinformatics, systems biology, molecular biology, or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar