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such as R, Python, or Java Unix / HPC experience very good written and spoken English pro-active learning ability to work independently as well as a team member excellent communication, organizational, and
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processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump
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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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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
in a group of motivated, interdisciplinary professionals # Ability to travel and do field work in Europe # Skills in a data science language such as R, Python or Julia # Excellent communication skills
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Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller / Completed university stud...
of scientific R and Git # Communication skills in English and willingness to work in an interdisciplinary and international team Our offer # A vibrant research community in an open, diverse and international work
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bioinformatics, computational biology, data science, or a related field. Expertise in data analysis, machine learning, and/or high-throughput proteomics. Strong programming skills (e. g., Python, R, or similar
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following areas: Murine genetics and breeding strategies Flow cytometry-based phenotyping and sorting Immunofluorescence microscopy and histopathological evaluation Statistical programming languages like R
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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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-cell or spatial transcriptomics, or digital pathology) Strong programming (Python / R) and analytical skills, with proficiency in bioinformatics tools, statistics and machine learning. Experience with
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data using MEFISTO. Nature Methods (2022) Kleshchevnikov, Vitalii, et al. Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology (2022) Argelaguet, R., et al. Multi