40 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P" positions at University of Lund in Sweden
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for the position and to have the general ability to fulfil their work duties well. Assessment criteria Applicants are expected to present their current research as well as a research plan for the coming years, and
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or an equivalent program deemed relevant by the employer have very good written and spoken English skills have a degree in biomedical science have the necessary personal qualities, such as independence
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interdisciplinary project involving programming and modeling. In addition, the project includes collaborations with researchers in other disciplines, including biomathematics, biostatistics, and molecular biology
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for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent communications skills in English, both verbal and written. We are looking for someone who is motivated
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tackle research problems. Written and oral communication skills. Other experience relevant to the third cycle studies, for example professional experience. Other assessment criteria: Programming skills
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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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level. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The work
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the time elapsed since the doctoral degree was completed. Very good written and spoken English and very good knowledge of languages relevant to the proposed research project. Assessment criteria Good ability
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, statistics, quantitative biology, physics, mathematics or a related discipline. Fluency in Python programming language. Experience in statistical modeling and/or machine learning. Experience with curation
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collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a strong merit