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experience in bioinformatics analysis of omics datasets, e.g. single-cell omics, including single-cell immune repertoire analysis as well as experience and knowledge of R and/or python programming
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computational biology, biochemistry, structural biology, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and
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environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
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skills Proficiency in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS
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scientific journals. Proficiency in at least one scientific programming language, such as Fortran, Python, MATLAB, C, or C++. Strong writing, verbal, and interpersonal communication skills.. Commitment
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and environments such as MATLAB/Simulink, Python (PyTorch, TensorFlow, SciPy), or C/C++. Strong writing, verbal, and interpersonal communication skills. Commitment to fostering an inclusive research and
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laboratory, simulation, or field-based experiments Experience developing software using Python, MATLAB, C/C++, ROS, simulation environments, or other scientific computing tools applicable to autonomous systems
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graduate-level knowledge of spatial analysis, machine learning, large dataset management, and statistics or econometrics. Applicants must be proficient in R and/or Python. Advanced knowledge of R's and/or
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programming experience in C++ and Python, and some experience in machine learning techniques is preferred. The position will be located at the Fermilab LHC Physics Center (Batavia, Illinois, United States
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Coding skills (Python, MATLAB, R, Linux/Bash) Very good English and German skills (B1) Team player with strong social / communication skills Coding skills (SPSS, JASP, R) Very good English and German