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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 13 days ago
, experience sampling methods, or remote/ambulatory cognitive testing Experience in programming (R and/or Python) and data visualization Familiarity with fluid and imaging biomarkers
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synchrotron and XFEL experiments is an advantage Good programming skills, especially in Python Proficient in English and in writing scientific articles Excellent interpersonal and communication skills High self
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pipelines (e.g., handling transcriptomic or scRNA-seq datasets using R or Python). Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. What We Offer
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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experience using statistical software such as R, Stata or Python, together with the ability to manage and analyse complex datasets and contribute to scientific publications and presentations. You will also
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integration Strong programming skills, preferably in Python, for data analysis, simulation, and instrument control Proven ability to work independently on a complex technical project, from conceptual design to
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic