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performative aspects of dictators’ communication, and it seeks to explain how and why such communication changes across different strategic contexts (such as during different types of crises). Utilizing, among
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accurately distinguish specific aphid-morphological traits (wings/no wings, estimated weight, different developmental stages and color differences, etc). Screen a pea collection for aphid resistance in
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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must be proficient in programming in Python and Java script. Have strong cooperation and communication skills. Have good command of the English language, both spoken and written. Be independent and
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qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant must be proficient in programming in Python and Java script. Have strong cooperation and
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets
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or mentally struggling. We work respectfully with people from different backgrounds, experiences and nationalities. To collaborate more efficiently and ensure reproducibility, we implement the principles
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning
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wildfires and their impacts on both the stratosphere and climate combining different model systems. The position is to be filled by 1 May 2026 or as soon as possible thereafter. Expected start date and
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields