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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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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as
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. Strong programming skills, preferably in Fortran, C/C++, or Python. Competency in visualizing and analyzing large-scale climate datasets using software tools like Matlab, IDL, Ferret, Python, or R. Merit
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Biology, Physiology, or a closely related discipline Demonstrated expertise in molecular biology techniques (including metagenomics), bioinformatics and coding skills (R, Python, or equivalent) Proven
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, including experience with tabular, image, and time-series data. Proven hands-on experience with tools such as Python, PyTorch, TensorFlow, NumPy, and scikit-learn. Familiarity with version control systems
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or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science, remote sensing, GIS, and open
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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Fortran, Python, Bash etc. We expect: The ability to work independently and on your own initiative A methodical and systematic approach Structured and goal-oriented thinking Capacity to familiarise yourself