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Field
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, especially in quantitative subjects • Strong Python skills and experience with deep learning frameworks, preferably PyTorch • Solid foundations in machine learning, statistics, linear algebra, and model
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project in atmospheric chemistry and to work with custom-built laser spectroscopy instrumentation Experience in data analysis using mathematical script languages or Python Excellent teamwork and
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
English Experience with the following is a plus: Single-molecule localization microscopy (SMLM) MATLAB/Python Please apply with your CV, motivational letter, and certificates, as well as contact information
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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inference and econometrics is a plus · Programming skills in Python, R, or comparable languages · Strong programming skills in (iOS) app development · Excellent communication skills in English
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systems and basic knowledge in information theory ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in AI‑based attack models and security research The following points
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a related field ▪ Strong knowledge in wireless communication systems, signal processing, or radar systems ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in hands
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use other programmes, such as Python, Stata, or SAS. Application deadline Please check the HDS PhD website in autumn 2025 for updated information on 2026 HDS PhD programme admissions. The application
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basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial). What We Offer We provide an inspiring, productive, and collaborative research environment with
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project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants