82 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Lunds universitet in Sweden
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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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%). 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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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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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
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duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within
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University www.sweden.se Compensation & benefits Where to apply Website https://lu.varbi.com/en/what:job/jobID:918770/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number
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you wish to submit (copies of transcripts, contact information for references, letters of recommendation, etc. More information regarding the Faculty of Medicine Where to apply Website https
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years after which you may be promoted to a tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in