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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering an Early Career Researcher position (PhD or postdoctoral level) (m/f/d) (Position number
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therapies in cancer. We are seeking highly motivated synthetic organic chemists or medicinal chemists to join a comprehensive drug discovery program. Dr. Cierpicki lab. is conducting highly interdisciplinary
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The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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). We seek an outstanding, ambitious, and highly motivated candidate with a PhD degree in chemistry (or equivalent), preferably with expertise in physical chemistry, theoretical chemistry or computational
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the nano-scale self-organization behavior in thin films on a substrate. The project involves structural studies of thin films of specifically designed ABC-stars synthesized by a PhD student in the group
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. Applicants should hold a PhD in Computational Biology, AI/ML, Computer Science, Population Genetics, Bioinformatics, or a related field, and have fewer than five years of postdoctoral experience. Strong
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following