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Field
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 20 days ago
modelling Proven skills in Fortran, Python or a similar programming language Skills in the processing, statistical analysis and visualization of data Very good English knowledge (approximately equivalent to
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concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2) understanding of the mathematical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary
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) Experience with data analysis software (e.g., Python, MATLAB, Origin) Ability to work collaboratively in multidisciplinary research teams About the employment The employment is a temporary position of 2 years
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, health services research, epidemiology, biostatistics, public health, or a related quantitative discipline. Strong quantitative and analytical skills with proficiency in R, Python, Stata, or SAS
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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. Excellent programming and computer science skills in C/C++, Python or other modern language and ML codes such as PyTorch or Keras. Clear and concise oral and written communication skills.Applicant will be
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing