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community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
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their respective fields. About the position You are tasked with completing your doctoral thesis and your doctoral degree in accordance with the curriculum of your doctoral programme. Your duties may also include
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Schleuning (Senckenberg Biodiversity and Climate Research Centre, Germany). Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics
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cell models, retinal organoids, and animal models, creating a unique translational pipeline from gene discovery to therapy development. The successful candidate will join a growing research programme
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to sustainability. Communicating the results in scientific publications and conference presentations Co-supervising PhD and MSc students working on the project Contributing to new research ideas and (co)-applying
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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implementation and will be expected to complete a PhD monograph or article-based PhD based on the empirical material produced, as well as participating in project communications, collaborating with partner
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to complete an article-based PhD based on the empirical material produced, as well as to participating in project communications, organising project events and other tasks relating to the project. Duties will