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on the design and testing of antimicrobial compounds in response to infection-specific signals. The group is seeking to fill the position of a Postdoctoral Researcher (m/f/div) in Antimicrobial Peptide
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, preferably from neuroimaging or behavioral studies Knowledge of signal processing and statistical analysis Excellent communication skills and ability to work in a collaborative environment Preference will be
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A postdoctoral research position is available in the lab. of Prof. Walter Marcotti funded by the Wellcome Trust. The remit of the project is to investigate the mechanisms regulating signal
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, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Functional Phosphoproteomics group (https://www.desmetlab.be/), tackles early
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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-economic losses and damages. However, there is a point at which the additional improvements in human and ecological capital that more adaptation would bring may not be worth the additional investment. Stated
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Completed doctoral degree in remote sensing, signal processing, computer science, or other closely related fields Experience in handling, processing, and analysing large amount of data, especially large-scale
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and as part of a team. How to apply: The application (reference number FS 2.1.6-755-25) process is done via our e-recruitment system here:https://umustipendie.varbi.com/en/what:job/jobID:838323/ ), by
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global