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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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conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
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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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-throughput CRISPRi/a screening (Cell Stem Cell 2024), 3) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4
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-throughput CRISPRi/a screening (Cell Stem Cell 2024), 3) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4
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Mathjobs.org | about 1 month 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
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-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further
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therapy for ovarian cancer and lung cancer; Role of the ubiquitin system and metabolic reprogramming during cancer development and progression; Role of non-coding RNAs and RNA-binding proteins in onco