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Field
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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
can apply for this position by submitting the following documents through the MPG postdoc program website (https://postdocprogram.mpg.de/node/21092 ): Motivation letter detailing your background, reason
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
this pipeline to develop an innovative research plan that harnesses genetic engineering to illuminate this hidden corner of the gut microbiome. The accepted postdoc will lead the research project while mentoring
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from other peers through a dedicated mentorship program. Technical queries should be directed to Robert Lasarzik (robert.lasarzik@wias-berlin.de ). The working hours are 39 hours per week and the
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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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with e.g. powder diffraction Experience with wet chemical synthesis, e.g. nanoparticles A distinct advantage would be: Experience with high-level programming languages, e.g. Python Knowledge in magnetism
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available in the further tabs (e.g. “Application requirements”). Programme Description The Cusanuswerk offers fellowships to particularly gifted students and doctoral candidates of catholic faith from all
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch