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Biology, or a related discipline Proficiency in Python and R, with experience in spatial transcriptomics data analysis and high-dimensional data visualization Demonstrated experience in building and
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bioinformatics for large-scale DNA sequencing (NGS) using Illumina, ONT, or PacBio platforms. Strong programming skills in Python Proficiency in Linux environments. Experience with container technologies (e.g
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AI/ML-based discovery Contribute to multi-modal data integration Your profile MSc or PhD in Computational Biology, Bioinformatics, Systems Biology, or a related field Strong programming skills (Python
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neural networks Documented experience with image analysis Strong competence in Python programming and Linux/HPC environments Prior experience of virtualization and software development Good social skills
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. Assessment criteria It is particularly meritorious that the applicant has shown Programming expertise: Proficiency in Python, R, and/or workflow management systems (Nextflow, Snakemake) Bioinformatics
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or related field. Proven methodological and research expertise Strong Python and R skills
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Computational Biology, Bioinformatics, Systems Biology, or a related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or equivalent) for omics data processing, QC
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equivalent competence. Solid programming skills in Python or R, especially for biological image data analysis and protein expression data visualization Excellent communication skills in English, as required in
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related field. At least three years of documented professional experience in bioinformatics-related system development. Excellent knowledge of Python or similar programming languages. Experience using Git