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or fluency in python Excellent oral and written communication skills The ideal qualifications also include: Prior knowledge about land-atmosphere interactions, atmospheric dynamics, climate modeling, and/or
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language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with
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, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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by relevant publications and research projects. Technical Skills: Proficiency in modeling and simulation methods for energy networks. Experience with energy network analysis tools (e.g., MATLAB, Python
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology
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in MATLAB, Python, or other relevant programming languages Motivation to work with animal models Self-motivated, ability to work independently and in a team, willingness to conduct out-of-working hours
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Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team