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Field
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seismic datasets, including signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis
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programming with Python, PyTorch, LLM APIs and similar frameworks Ability to process large-scale datasets, clean data, and apply statistical tools (like Pandas, R or SQL) to evaluate simulation results, e.g
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Bash, R and Python scripting. Possess excellent quantitative, analytical, organisation skills, and basic experimental skills (e.g. PCR, NGS) Self-motived, able to work effectively and efficiently
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Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
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; • Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; • Good written and oral
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with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto/Squidpy. Understanding of immune-related bioinformatics High level analytical
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Job Requirements: PhD in geodesy or related field At least 3 years of relevant experiences in GNSS data processing Strong computation skills with experience using MATLAB and/or Python Excellent
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, with experience working with large-scale firm-level or related datasets. Proficiency in Python and/or Stata for data management, statistical analysis, and empirical research. Experience in merging
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eddy covariance theory and instrumentation, and of standard processing software. Analytical and modelling skills with R or Python; experience building automated, reproducible data pipelines. Excellent
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, multiplex bead arrays) Experience working in Biosafety Level 2 laboratory Experience in computational data analysis, e.g., UNIX -based systems, R, Python, or similar tools for data processing and