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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics
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, scientific curiosity, and a collaborative mindset. As a member of the FGCZ Genome Informatics group, the candidate will provide bioinformatics services to support ongoing projects. This includes performing
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied
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Assistant will take on a significant role in contributing to the computational chemical biology research. Key Responsibilities: Establish the bioinformatics platform Acquire proficiency in discipline-specific
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. Applicants should possess a Ph.D. degree in Biomedical Engineering, Biochemistry, Cancer Immunology, Genomics, Bioinformatics, or a related field, and demonstrate exceptional experimental, writing, and
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-cell sequencing assays for functional characterization of proteins in cultured cells. Supervising personnel conducting these functional assays. Supervising bioinformatics work to define protein lists
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data