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Field
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research environment. Details about the project: https
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, implementation, and validation. Proficiency in scientific programming, with experience in one or more languages such as Python, MATLAB, and/or FORTRAN. Ability to conduct independent research and collaborate
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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, https://ibis.dtu.dk ) and contribute to building a world-class research hub focused on advancing microbial solutions for a sustainable future. DTU Bioengineering is excited to announce a 4-year
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suitable evolutionary models Development and implementation of novel phylogenetic approaches, including those implementing protein structural information. Where to apply Website https
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in the use of geometric or morphological methods (e.g., Voronoi analyses, clustering methods, Minkowski functionals) Very good programming skills (e.g., in Python, C++, or comparable languages
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES