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natural product research, mechanistic pharmacology and translational in vivo studies Your profile Requirements: PhD in pharmacology, pharmacognosy, biomedical sciences or related field Extensive hands
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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protein biochemistry will be favored and is desirable, but not a requirement. Communication and interpersonal skills are valued in order to work in a young, dynamic, diverse, and collaborative environment
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well as selectable traits during long-term syngas fermentation. Of particular interest are metabolic and ecological niches as they arise within the dynamically changing physical-chemical environment of large scale
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Requirements PhD in bioinformatics, biochemistry, molecular biology, or a related field Background in bioimage analysis and spatial omics is welcome; a genuine interest in these areas is essential Ideally
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of PhD students and other team members. You will fulfil a limited number of teaching activities. You will participate in the provision of academic services: you will represent the research group both
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modest annual research budget supporting conference travel, analysis, and professional development. Applicants must have a PhD in Marine Biology, Marine Science, Coral Reef Ecology, or a closely related
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agreement You supervise or co-supervise MS and PhD students in the group, with an emphasis on training students in skills related to your area of specialization You contribute to group administration, such as
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mentoring access to have breadth of talented affiliated faculty members and consultants (e.g., Mirko Uljarevic, MD, PhD). Didactic and hands-on training in many theoretical and applied areas of research will
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://drive.google.com/file/d/17SY2HfckkPZp8GVtRelkIxrGhikP92nN/view?usp=sharing Job Requirements REQUIRED: PhD in materials science, physics, electrical engineering, chemical engineering, or a related field by the start