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with experience analyzing cellular and molecular networks underlying tissue homeostasis and disease, especially using single-cell and spatial omics approaches. Our research is highly interdisciplinary
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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test facilities with regard to the research and project objectives Collaboration in the analysis of operated SOC stacks through disassembly and post-test characterisation to identify material
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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, or related fields Strong interest in quantitative methods and drug development Hands-on experience with modeling and simulation software tools (e.g., NONMEM, R) and statistical data analysis Programing skills
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 1 day ago
on high-performance computing and quantum computing platforms # Analysis and validation of results using classical reference models and simulation data # Documentation of research results and contribution
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
from Renewable Energy. Your tasks # Analysis and evaluation of various technologies for green methanol production with regard to efficiency, costs, and environmental impact # Development of dynamic
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8 Jan 2026 Job Information Organisation/Company Łukasiewicz Research Network - Institute of Microelectronics and Photonics Research Field Physics » Electronics Physics » Other Engineering
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
: 87178BR We are looking for a Financial Analyst who will play a key role in supporting the strategic financial planning & analysis for Marin Health Medical Network (MHMN), working within UCSF Health Network
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis