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has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS
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datasets are well-managed and compliant with FAIR principles. Contribute to multi-modal (multi-omics) data integration using AI/ML approaches. Your profile Eligibility requirements MSc or PhD in
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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visualizations tailored to high-dimensional multi-modal spatial data. Qualification requirements Required Qualifications A PhD (or MSc with significant experience) in Bioinformatics, Computational Biology, Systems
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. Singularity, Docker). Experience working in HPC environments, preferably with SLURM. Knowledge of version control (Git). Excellent English skills, both spoken and written. Meriting experience: PhD in
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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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for an appointment as Assistant Professor, you must demonstrate good scientific skills according to KI’s eligibility criteria as follows: A PhD (or equivalent degree) in the relevant subject area At least two peer
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to the work duties listed above Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the
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are looking a person with a PhD in bioinformatics with focus on DNA data analysis, who has documented experience with genomics and ancient DNA. Excellent command of English in speech and writing is required
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course catalog and you will have the opportunity to participate in teaching at advanced level (PhD level and up). Requirements PhD in Bioinformatics, Computational Biology, Computer Science, or a related