127 programming-"the"-"DAAD"-"U"-"Prof"-"EURAXESS"-"MASARYK-UNIVERSITY"-"UCL" positions at Technical University of Denmark in Denmark
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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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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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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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. Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal
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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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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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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
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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 education
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its