158 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Study-Group" positions at Technical University of Denmark in Denmark
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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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developing enzyme-based approaches to unlock the full potential of lignin — one of nature’s most abundant, yet underutilized, biopolymers. The job As a Specialist, you will plan, execute, and interpret high
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than