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Processing, Biophysics, Biomedical Engineering, Biotechnology, Biophysics or equivalent. Success in studies is considered a major advantage. Basic experience in stochastic and/or statistical modelling, omics
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, playing a crucial role in forming the CREDO project as well as future research areas for the whole lab. MAIN JOB CONTENT Framework Collaborating with the project team (PI, 2 postdocs, 2 Phd students
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
. Build statistical and machine-learning models to infer RNA regulatory networks and developmental splicing programs, translating results into experimentally testable hypotheses. Your profile Master's
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to support young researchers in their postdoc and late PhD phase in pursuing a successful career within or outside of academia. Established in 2013, the GAUSS Career Service offers a wide range of specifically
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(mathematics, statistics, AI&ML, systems engineering). Supervise and support PhD students and postdocs involved in joint projects. Help establish new collaborations with industry and public-sector stakeholders
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. Signal processing, AI, and sensor systems: You possess strong expertise in signal processing, particularly using statistical methods and machine learning / artificial intelligence techniques. You also have
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knowledge on epidemiological and statistical methods To scientifically contribute to narrow evidence gaps in epidemiological and health research To acquire the ability to present results and methods