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machine learning. Strong proficiency with R/Python and machine learning frameworks (e.g., PyTorch, TensorFlow). Prior experience with workflow management tools (e.g., Snakemake, Nextflow). Familiarity with
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strong plus. Experience with Matlab, Python or a similar language and environment is a plus. Depending on the skills of the candidate, training can be arranged in the first year of the PhD. • Good
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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, critically-thinking, self-motivated, flexible, and enjoys working in a team Desirable but not required: Programming experience, preferably in Python or R, and experience in the Linux environment Experience
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internships) in control theory or event-camera sensing is considered a strong asset. Experience with scientific computing in Matlab, Python, or Julia is required. Excellent proficiency in the English language
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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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-camera sensing is considered a strong asset. ● Experience with scientific computing in Matlab, Python, or Julia is required. ● Excellent proficiency in the English language is required, as well as good
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systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work