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comparison with reference data. You have prior programming experience in Python and have used version control. You are curious, self-motivated, and interested in using modeling and quantitative reasoning
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quantitative comparison with reference data. You have prior programming experience in Python and have used version control. You are curious, self-motivated, and interested in using modeling and quantitative
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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strong background in mathematical optimisation, in particular mixed-integer linear programming, together with stochastic or robust optimisation and solid programming skills (preferably in Python
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(Python, MATLAB, or similar) Motivation to combine computational modeling with experimental validation in a highly collaborative environment We offer A unique environment combining theory, computation, and
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PhD in meteorology, climatology, environmental science, or a closely related field Excellent programming skills in R and/or Python and a profound knowledge of state-of-the-art statistical methods
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experimental control and scientific data analysis, preferably using Python, C/C++, MATLAB, LabVIEW or related tools The ability to guide junior researchers and coordinate work across a collaborative experimental
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, preferably in Python, MATLAB, LabView, C/C++ or a comparable environment A careful, independent and collaborative working style, with very good written and spoken English Experience with coincidence
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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, reproducible data pipelines, descriptive analysis, and forecasting-related tasks. Prior experience in handling and analysing data using statistical software packages such as R, Python, and/or Matlab is desired