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Field
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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scanning in forests; and (3) apply these methods to gain ecological insights in how forest structure is changing through time. This PhD project will be promoted by prof. Kim Calders, co-supervised by dr
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degree (Ph.D.). IGSSE grants a fully funded scholarship (€ 2,000 monthly), including a competent international qualification program. The scholarship is for four years provided that the progress
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conferences participating in the supervision of undergraduate and postgraduate students cooperating with researchers active within the research group and outside The research project is led by Prof. Fuhui Shen
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(either in classes or in projects/work) is a must. You have experience or you have studied at least one Hardware Description Language. You must be familiar with FPGA programming, hands on experience with
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full-time to start the program in September 2025. Desirable: Dutch language proficiency Eligibility Conditions: Applicants do not already hold a doctoral degree. Applicants must not have resided