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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing
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. Experience of collaborative software development according to modern best practices Excellent academic writing and presentation skills. You must have a two-year master's degree (120 ECTS points) or a similar
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-based tools such as BioSTEAM and Brightway LCA Software will be an advantage. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
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software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing, including design, materials and processes, or testing, would strengthen your application. Finally, a
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robotics software frameworks such as ROS/ROS 2. You will be expected to work both independently and collaboratively in an international research environment, with excellent written and spoken English skills
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for these projects has excellent academic qualifications, strong self-motivation, and a genuine interest in environmental issues, design, and AI. Preferably, the candidate has experience with relevant software/AI
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL