90 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Southern Denmark in Denmark
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, OpenPNM, LAMMPS, or equivalent) and/or experimental design and data analysis You demonstrate strong teamwork, communication, and independent research skills You are proficient in English (spoken and written
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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. The experimental research is predominantly carried out in the SDU Structures laboratory which is equipped with state-of-the-art testing and data acquisition equipment for structural testing. Within the CEBE research
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cooperation skills will be expected in order to further the development of research in the areas mentioned above, both interdisciplinary as well as nationally and internationally. Further information Further
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proposals. Obtain and provide information and matchmake colleagues to upcoming calls for proposals. Seek new avenues for funding and new grant opportunities. Identify, promote, and support best practice in
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, Economic Evaluation, Economics of Prevention, Pharmacoeconomics and Registry Analysis. For more information on the people at DaCHE and our research portfolio, please visit our website . Contact information
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limited to: Designing, developing, and maintaining software to analyze multi-omics data on HPC resources. Participating in the full feature lifecycle, from requirements gathering and architectural design to
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design studies, media studies, educational science, philosophy, information studies, library science, business communication and web communication. The department is located at Campus Odense, Campus
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of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
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(week 6, 2026 - week 15, 2026) Number of lectures: 21. The applicant should be able to explain and discuss major topics and modern methods in biostatistics and apply these methods to data from