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: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related
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methods of neural-microglia interactions, complementing already established multi-omics approaches: non-destructive fluorescence lifetime imaging microscopy (FLIM), mass spectrometry imaging and Raman
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metabolism impacts vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out
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of the physical processes driving the region’s water cycle, uncovering the causes of observed changes, and improving our predictive capabilities of future climate trends. This position focuses on applied research
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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work, including through writing peer-reviewed scientific article(s) The ideal candidate: Holds a PhD in a relevant field such as epidemiology, public health, biology, or a related discipline. Has proven
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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researchers and industrial collaborators on the research project. About You The candidate should have a PhD (or close to completion) in a biological, biomedical or closely related science. Previous work
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handling. Experience with image processing. Experience with MATLAB. Excellent written and oral communication skills. Demonstrated ability to function well in a fast-paced research environment and set
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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates