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@cnrs.fr , [email protected] You will be offered : To work within an interdisciplinary environment with leading experts in seismo-acoustics, High-Performance Computing (HPC) simulations, and
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Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience Competences Curiosity and critical thinking Rigor
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
and simulated model data Knowledge in programming languages preferably python (R or similar) Experience with high-performance computing and bash scripting Skills in remote-sensing (SAR, optical sensors
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Quantized Reinforcement Employer
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infrastructure, including high-performance computing clusters for molecular simulations and data-driven modeling. Additional support includes access to software licenses and collaborative opportunities
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. You should have expertise in algorithm design and high-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis
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and high-performance or GPU-accelerated computing environments. Applying rigorous methods for external validation, transportability, subgroup performance, fairness, uncertainty quantification, and
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position within a Research Infrastructure? No Offer Description Tenure-track position: Group Leader (k/m/x) in Quantum Algorithms and Machine Learning/Theory of Quantum Computing Ref. Number: MAB/27/2026
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develop innovative EO solutions. We offer: • a stimulating multinational, interdisciplinary and open work environment; • access to high-performance computing infrastructure and unparalleled EO
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, evolutionary, or conservation genomics Analysis of high-throughput sequencing data Linux or Unix computing environments R, Python, or other computational tools Molecular laboratory methods Museum