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2 Apr 2026 Job Information Organisation/Company Helmholtz-Zentrum Berlin für Materialien und Energie Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Communicate effectively with clinicians, pathologists, imaging scientists, and molecular technologists Maintain reproducible and well-documented analysis workflows Patient Engagement & Return-of-Data Work
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English
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motivated portrayals of the region do not align with, or sometimes contradict, political and economic realities. Therefore, political economic analysis of local politics in the periphery offers valuable
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 17 days ago
‑infrared optoacoustic sensor (MiROS) for non‑invasive in‑blood biomarker detection. Your tasks Develop data analysis pipelines and signal processing methods for mid-infrared optoacoustic sensing Translate
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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characterization (e.g. KPFM) of thin-film model surface for localized characterization across heterogeneous surfaces High-troughput data collection and physical parameter analysis for catalytic mechanism Exploration
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, ChIP, gene expression analysis, cloning, cell culture, lentiviral transductions, flow cytometry, microscopy etc.) Experience and skills in Next-Generation-Sequencing, CRISPR/CAS9, shRNA-mediated knock
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a