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. The position is for at least 12 months, starting at the earliest opportunity. Applicants should hold a PhD or equivalent in Materials Science or Physics. Experience in some of the following areas would be highly
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transcriptomic and single-cell analysis of organoid models and patient biopsy samples. What you bring to the table PhD in biology, biochemistry, molecular biology, cell biology, immunology, or related discipline
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of PhD students and other students Support in establishing the institute Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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. Your profile: PhD in synthetic biology, natural product chemistry, microbiology, life science, or a related discipline Extensive experience in synthetic biology and molecular biology techniques
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in the consortium. Your profile PhD in the field of mass spectrometry-based proteomics Ample experience in mass spectrometry-based proteomics, including sample preparation and hands-on use of modern
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 6 days ago
develop state-of-the-art theoretical and computational methods to model strong light–matter coupling in and out of equilibrium, across gaseous, liquid, and solid-state systems. Key responsibilities The PhD
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation