43 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Southern Denmark
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Plan: Outline your proposed research activities, including key objectives, methodology, and expected outcomes. Academic Certificates and Diplomas: Provide copies of your BSc, MSc, and PhD degrees
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Bioinformatics, Computational Biology, or documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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MSc programs. Complete list of publications, indicating which publications are most relevant for the position. Research plan Please provide contact information for up to three individuals whom we may
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and discovery Integrate computational and experimental results to advance mechanistic understanding and predictive modelling Collaborate with academic and industrial partners Mentor and supervise
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orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
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the investigation of structure–reactivity relationships. Designing conjugation and cancer cell targeting strategies. Collaborating on mechanistic and computational studies. Developing protocols for radiolabeling and
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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, and teaching philosophy a research plan detailing the candidate’s ideas and plans for her/his future research work If you experience technical problems, you must contact hcm-support@sdu.dk . Please note
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relevant field. In-depth knowledge and experience with advanced data processing and statistical analysis in R; knowledge and experience in spatial modelling, machine learning, or computational methods