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Field
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transcriptomics, graph-based modeling, or deep learning will be considered a strong advantage. Familiarity with Linux/Unix environments, version control systems (Git), and high-performance computing is desirable
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical thinking as well as a systematic
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or epigenetics datasets, Strong skills in R programming, Linux shell scripting and Python or another relevant scripting language, Excellent written and spoken English skills. The following will be considered
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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frameworks such as PyTorch Experience in Linux and development tools such as git, conda, or docker Ability to manage own academic research and associated activities Excellent communication skills and ability
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have