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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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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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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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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
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
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, advanced, and research-level courses, with undergraduate courses primarily in the medical, biomedical, pharmacy, and nursing programs. The department is located at the Biomedical Center (BMC) in Uppsala and
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motivated co-workers with expertise in cutting-edge technology. Your mission We are looking for an outstanding multi-omics bioinformatician with strong analytical and programming skills working on cancer