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Field
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
), serious gaming, agent-based simulation, knowledge of relevant research methodologies and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g., Python, C#, C++) and
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in
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, or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent
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skills: Programming experience in Python Hands-on experience with deep learning frameworks such as pytorch, and libraries such as scikit-learn, preferably for image analysis High level of motivation and
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. Your profile Master’s degree in analytical chemistry, environmental science or related fields Hands-on experience with mass spectrometry (LC-MS or GC-MS) Experience with programming (Python or R) is a
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months