103 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" positions at University of Lund in Sweden
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, ensuring adherence to international and Swedish laser safety standards. You will be supported by a strong network of engineers, researchers, and technical specialists who collaborate to develop safe
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has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
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the appointment decision is made. The ability to plan and carry out research of high quality, teaching skills. Profound knowledge of numerical methods for partial differential equations. Knowledge of uncertainty
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industry and wider society Administration related to the work duties listed above Qualification requirements Applicants must have: A PhD or equivalent research qualification within the subject of Applied
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subject is divided into a range of sub-disciplines and specialisations. The PhD programme at the Department of Biology includes many of these specialisations, from molecular biology to applied ecology, from
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. The Post doc is a 2-year position. Application instructions: The application should include a well-developed research plan describing their proposed area of research within the broader scope of the project
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particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments
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-year position. Application instructions: The application should include a well-developed research plan describing their proposed area of research within the broader scope of the project. The plan should
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focusing on protein characterization; however, there is a possibility for method development work for interested candidates. Work duties The main duties involved in a post-doctoral posistion is to conduct
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on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images