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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Green hydrogen has a central role in enabling the global
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 1 month ago
on several available Drosophila panels. In a parallel evolve and re-sequence (E&R) project, Drosophila populations will be experimentally evolved for larger/smaller embryo size. The postdoc will be responsible
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this job description, "organization" refers to the boundaries of responsibility defined by this scope.) Specific Duties & Responsibilities The responsibilities listed below are typical examples
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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) Country United Kingdom Application Deadline 28 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and