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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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(Bioconductor), MATLAB (Biologia computacional), Python (ex. pyCOBRA, pyMEW) e Bioiformatica para pesquisa em bases de dados. - Integração multiomica (ex. HPLC, GCMS)). - Agricultura de precisão. -Precision and
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at less than 10% of working time). For both PhD and Postdoctoral candidates You hold a Master’s degree obtained with cum laude or equivalent. You have strong programming skills, especially in Python, and
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experience in handling large metagenome datasets (first author publication/s in the topic are required). Relevant experience in R and/or python programming (eg. pipeline development for metagenomic data
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
particularly advantageous: Mathematical and kinetic modeling of metabolic networks Mathematical optimization (linear and mixed-integer (non-)linear programming) Programming experience in MATLAB and/or Python
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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Max Planck Institute for Demographic Research (MPIDR) / University of Helsinki | Germany / Finland | about 1 month ago
projects in the Center and to the MPIDR. We are seeking creative, self-driven, and collaborative scholars. Advanced knowledge of quantitative methods and statistical software such as R, Python, or Stata is
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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
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English, econometric studies, programming in R or Python, writing in LaTeX, and 2 at least of: mastering difference-in-differences and regression discontinuity design methods and their application, topic
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how