86 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Lunds universitet
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, for that reason we are looking for someone who has: Documented research experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented
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additional documents you wish to refer to (copies of transcripts, reference contacts, letters of recommendation, etc.). We look forward to receiving your application. Where to apply Website https
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means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. More about working at Lund University on lu.se. https://www.lunduniversity.lu.se/about
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10 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Psychological sciences » Cognitive science Educational sciences » Learning studies
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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applications, including development and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools
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of recommendation, etc.) Where to apply Website https://lu.varbi.com/en/what:job/jobID:920236/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Additional
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems