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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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. Strong candidates will also have software experience with coding in Python, C++, and ideally MATLAB and databases such as MySQL. The successful candidate will be able to work both independently and closely
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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in transcriptomics, epigenomics, and/or genomics Strong analytical skills, as well as broad experience with scripting languages (e.g., Python, R, Bash); knowledge of common bioinformatics software and
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computing languages, such as R and python, and open-source programing tools such as Knime, RDKit, and ChemProp, is a plus. LDI is a world-class collaborative research center with expertise in chemical
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research methods, ideally in numerical optimization and simulation models Proficiency in one of the major programming languages, such as Python Commitment to participate in the design and implementation
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to develop simulation models and analyze complex system performance under realistic conditions in one of MATLAB, Python, C/C++ Strong analytical thinking, problem-solving skills, and ability to work
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis