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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across cities; Examine similarities and differences in urban
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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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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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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methods. Programming languages, i.e. Python, Matlab, ... Level of experience evidenced by publications in peer-reviewed journals. Fluent in French and English. Experience of working as a member of a
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C