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of reproducible code through code sharing platforms, version control, workflow languages and container solutions. Documented ability of responsible and legally compliant adoption of machine learning/AI methods
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” are central concepts to us, and we value experience in the development of reproducible code through code sharing platforms, version control, workflow languages and container solutions. Documented ability
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mathematical skills in large-scale datasets • Research experience in cancer epidemiology or molecular epidemiology • Ability to work independently, be self-motivated, initiative, creativity and collaborative
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developing, adapting or optimising experimental protocols Experience with high-throughput sequencing approaches (e.g. RNA-seq, ATAC-seq or related methods) Ability to critically assess data quality and
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expertise. Are scientifically curious, independently driven, and motivated by biologically meaningful modelling problems. Have good teaching abilities. Have awareness of diversity and equal opportunity issues
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, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Interest or previous
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frameworks. Ability to conduct independent research and collaborate in an interdisciplinary environment. Proficiency in written and spoken English. Other desirable qualifications: Experience working with
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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contributing to collaborative team efforts. You should demonstrate strong problem-solving skills, a curiosity-driven mindset, and the ability to adapt research directions as needed. You should also have the
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research combining computational biology with experimental validation. Selection The selection among eligible candidates will be based on their ability to successfully complete the PhD studies. Key criteria