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Analysis of parallel scientific applications with respect to efficiency and scalability, in close collaboration with their developers Identification of optimisation potential, with focus on architecture
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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(CFD) Experience with high‑performance (HPC) computing and parallel programming is a plus Demonstrated capacity for independent scientific work is a plus Enquiries regarding this position can be directed
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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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neural differentiation paradigms, patient specific iPSCs, (epi-)-genomic approaches (single cell omics, massively parallel reporter assays) and genome and epigenome editing as well as computational
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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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Possibility of finding part-time employment Fellowship students are allowed to work parallel to their studies for a limited amount of working hours and a limited salary. Accommodation A simple way to find a
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
programming skills in Pyhon, Julia or similar and past contributions to research software projects; more programming languages or parallel programming skills are a plus # Good English language skills in a
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main tasks are: Develop methods to accelerate dynamic simulations (RMS) for near real-time applications. Research and implementation of techniques for model simplification. Implementation of parallel
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adaptation to different ecological needs and the evolution of insect societies. This poses a fundamental challenge to the evolution of olfactory neural circuits, which should occur in parallel