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-cell analysis. Specific experience with single-cell and spatial omics data analysis (snRNA-seq, Visium, MALDI-MSI) and proficiency in R and/or Python is required. Familiarity with deconvolution tools
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-based and farm models with a focus on biogeochemical and hydrogeological fluxes. Knowledge of greenhouse gas inventories (methane, ammonia, nitrous oxide) Proficient skills with scripting (R, Python) and
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particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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environmental datasets (e.g., topography, land cover) Strong programming skills in Python, including experience with scientific computing libraries Strong publication record relative to career stage Excellent
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(e.g., CNNs, UNets, Transformers) Proficiency in working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and experience with deep learning frameworks
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++ or Python Working knowledge of ROS Publication experience Excellent communication and language skills Teaching experience Preferred skills: Experience with UAV control Concrete experience in machine learning
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python