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Field
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. Strong fundamentals in cancer biology and statistics are essential. Demonstrated proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets
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proficiency in R and/or Python for statistical modeling and large-scale data analysis; experience developing reproducible computational workflows is preferred Experience with Linux-based environments and large
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 months ago
spatial transcriptomics; become a technical expert the group relies upon Conduct rigorous multi-omics data analysis using R or Python; generate publication-quality findings Your qualifications A strong
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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software and research at www.cernaklab.com Required Qualifications* Candidate must have strong programming skills in Python, React, JavaScript and related languages. Expertise in one or more of the following
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, Python, JavaScript, Ruby) for developing interactive, data-driven visualisations. Strong collaboration and communication skills, with the ability to convey technical concepts to diverse audiences in
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controlled trials (RCTs) in developing countries. Candidates should have strong quantitative skills, including proficiency in statistical software (e.g. Stata, R, or Python). Experience coordinating field
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biochemistry or analytical chemistry. An expert understanding of mass spectrometry, and its application for peptide and protein analytics in a dynamic research environment. A good understanding of Python
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externally (e.g., conferences) Required: PhD in Bioinformatics, Computer Science, Computational Biology, or related field Experience analyzing DNA sequencing data Proficiency in Python and/or R Familiarity