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                background in computer vision, and machine learning. Prior experience in 3D vision or related fields such as 3D reconstruction Proven software and debugging skills in Python and/or C++ Experience with learning 
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                programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal 
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                degraded DNA Analyse downstream population genomic metrics of extinct species Contribute to software documentation, tutorials, and user training Qualifications: A two-year master's degree (120 ECTS points 
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                process. Together, these innovations aim to make column generation more practical for solving real-world, large-scale optimization problems. These innovations will be tested within a structured software 
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                bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights 
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                Image processing Optical bench instrumentation – set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills 
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                Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in 
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                . Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing 
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                the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers, software developers, and data scientists to ensure practical 
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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