213 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" scholarships in Netherlands
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for applicants: https://phdpositionswetsus.eu/guide-for-applicants/ Where to apply Website https://phdpositionswetsus.eu/ Requirements Research FieldAgricultural sciences » Soil scienceEducation LevelMaster
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Where to apply Website https://www.academictransfer.com/en/jobs/359566
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via the application webpage before the deadline will be considered eligible. Guidelines for applicants: https://phdpositionswetsus.eu/guide-for-applicants/ Where to apply Website https
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machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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scientific publications. Where to apply Website https://www.academictransfer.com/en/jobs/359131/phd-process-intensification-for… Requirements Specific Requirements A master’s degree (or an equivalent
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. The project is jointly supervised by Dr. Tarikere Niranjan (https://niranjangroup.weebly.com/prof-tarikere-t-niranjan.html ) and Dr. Emir Efendić (https://eefendic.com ) and examines how decision-makers in
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, electrical engineering or simila,r with an affection for machine learning; You are an independent and original thinker with a creative mindset; You are a fast thinker with excellent analytical and
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, and behavioral intervention using both quantitative and qualitative approaches, including field studies and stakeholder participation. More information can be found here https
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning