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Field
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collaboration aiming at preparing battery electrode materials from bio waste. Main duties of the position include: Perform structural and morphological analysis of the anode materials using e.g. X-ray powder
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qualifications at the time of hire. D octor in Philosophy (PhD) in Immunology, Cancer Biology, Molecular Biology, Biochemistry or related field in the bio-medical sciences. Experience in cell culture and basic
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degree (PhD) At least 1 original publication in a peer-reviewed journal A background in the relevant methods Complete application package submitted through the AMBER portal (including CV and detailed
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for Biomolecular Research at the Faculty of Science MU is focused on the study of bio(macro)molecules at the atomic level using experimental and computational methods. Equipment for nuclear magnetic resonance
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Do you want to help shape the future of sustainable materials? We are looking for a dedicated postdoctoral researcher to develop bio-adhesives and additives that meet both sustainability goals and
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-molecule super-resolution imaging, advanced lattice light sheet microscopy and other state of the art biophysical approaches to study molecular mechanisms of transcription, genome organization and bio
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capable of driving the project forward. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a
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Postdoctoral researcher in the field of the development of bio-based processes specializing in process design and ex-ante analysis The postdoctoral researcher will work as expert in process design and modeling
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI