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analyzing the subseasonal-to-seasonal variability of the climate system; Demonstrate experience in Python code development; and Knowlege of programming skills including Python code development. Preferred
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approaches. Familiar with common scientific programming languages such as python, C++, or Fortran. Experience with high performance computing environments is welcome. Candidates who do not strictly meet these
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)computer science, (bio)physics, mathematics, engineering or similar degree from STEM - advanced programming skills in Python - experience with ODE modeling, in pharmacokinetics, ADME, pharmacology
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using tools such as MATLAB, Python, or equivalent engineering
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 24 days ago
). Experience in machine learning methods, including data preprocessing, model selection, and performance evaluation. Familiarity with programming languages commonly used in these domains (e.g., Python, MATLAB
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation