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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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the selected person to have the ability and motivation for doctoral studies and to complete a doctoral degree. To be eligible for a full PhD student position, the candidate is required to participate in a
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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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, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology
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to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
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effectively in an international research environment are also considered as essential for the position. The duties, qualification requirements, and language skills of a postdoctoral researcher are stipulated by
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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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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. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise
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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 science