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of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based, but
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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. Proficiency in programming languages such as Python or MATLAB is essential. Preference is given to candidates with experience in working with large-scale datasets (extended database knowledge and experience
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Python, R, or Matlab). Demonstrated ability to multi-task and present/organize data. Familiarity with experimental design (controls, technical vs biological replicates). Ability to independently analyze
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
-discipline to carry out research independently # Willingness to work on numerical and experimental tasks # Programming skills (e.g., Matlab, SIMULINK, Python) or other common process simulators # Excellent
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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is considered positively, but is not a requirement: live cell microscopy, image analysis, whole genome sequencing, physical/mathematical modeling, coding in Python and/or Matlab. Suggested reading