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advance the ability to predict disease progression and response to specific therapies. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties
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part of the SciLifeLab and the research school of the Wallenberg National Program for Data-Driven Life Science (DDLS), within the research area Cell and Molecular Biology. To achieve this, the doctoral
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Requirements A doctoral degree in bioinformatics, computational biology, cell biology with a strong computational component, or a closely related field. This eligibility requirement must be met no later than
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doctoral thesis (or weblink). Names and contact information (e-mail and telephone) to two reference persons who have agreed to act as reference for you. Please also describe the relationship with that person
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‑on experimental work in growth chambers and in the molecular laboratory. As a doctoral student, you will also take part in a tailored selection of courses that support your scientific and academic
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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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approximately 60 doctoral students. The department offers a strong research environment with unique opportunities for synergy and collaboration between theoretical and experimental activities. Access to BSL2 and
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clinical registry data and unstructured medical text. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties of at most 20%, including teaching and
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assessed: Required: Documented experience of teaching at the advanced (Master’s) level. Meritorious: Experience supervising doctoral students. Regarding other qualifications Other qualifications that will be
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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