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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC
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, electronic health record data, and the re-analysis of clinical trial data. The researcher will be expected to publish in high-impact peer-reviewed journals. The postdoctoral fellow will have the opportunity
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communication skills in English Beneficial A background in the ocean uptake of carbon and heat or mesoscale eddy parameterizations Experience with high-performance computing facilities and knowledge of Fortran
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to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
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to the Baltic Sea region. Experience in running numerical ocean models and analyzing ecosystem model output. Experience using high-performance computing systems. Familiarity with operating systems such as Linux
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for Molecular Medicine in the Helmholtz Association, founded in 1992, today inspiring and nurturing a diverse talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal
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collaboration and mutual learning access to high-performance computing a chance to contribute meaningfully to an ambitious research agenda focused on creating positive impacts for global society and future
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electrophysiological and calcium imaging recording techniques to assess glia and neural activities. Perform pharmacological modulation to investigate neural circuit activity in the context of metabolism and energy
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data