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multilingualism and memory) Background in biomedical engineering Experience in advanced analysis of brain functional and structural data Coding skills (Python, MATLAB, R, Linux/Bash) Very good
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. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare protein coding genetic association data with
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, data science algorithms, scientific and numerical computation. Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit. Proficiency in coding and debugging in Pytho. Strong
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contributing to qualitative research projects, including data collection, coding, and analysis, ideally within an academic or policy research setting Familiarity with qualitative data analysis
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-coding RNA data analysis, and other datasets. Projects will include next-generation sequencing based profiling studies of RNA-Seq, ChIP-seq, HiC-Seq, ATAC-Seq, etc…to fully characterize epigenetic
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hands-on education in molecular genomics, population genetics, evolutionary theory, non-coding regulatory biology, and/or bioinformatics via their participation in research projects in the laboratory
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methods and coding. Excellent laboratory and analytical skills Ability to work collaboratively in a team environment. Online Application Required Documents Curriculum Vita Name and Contact Information
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computational biology and machine learning. Candidates with a molecular biology or engineering degrees with experience in coding will also be considered. The successful candidate should have a good publication
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brain functional and structural data Coding skills (Python, MATLAB, R, Linux/Bash) Very good English and German skills (B1) Team player with strong social / communication skills Coding skills (SPSS
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Mathjobs.org | 25 days ago
-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further