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Institute of Geography and Spatial Organization, Polish Academy of Sciences | Poland | about 1 hour ago
analysis methods in environmental research, programming skills in Python and JavaScript, ability to work in the Google Earth Engine environment, knowledge of machine learning methods and the ability to apply
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Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning for manipulation
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staff working in the R&D unit. Where to apply Website https://jobs.energy.imdea.org/es/offer/394 Requirements Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications PhD in
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/job/295231/phd-research-fellow-in-machine-learning-and-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295231/phd-research-fellow-in-ma… Requirements Research
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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with biochemistry, medicinal
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 1 hour ago
analysis, gravity models, Bayesian models, etc.). In this regard, proficiency in software is required: programming languages such as R or Python, machine learning, econometric softwares, data management