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/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and responsibilities A postdoctoral position at Lund University will provide opportunities
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, teaching skills. Knowledge of Finite Element methods. Profound knowledge of C++ in relation to scientific software. You have acquired one of the two following skill sets (both is a strong merit): Previously
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to perform statistical analyses using software such as R, Stata, SAS, or equivalent Good proficiency in written and spoken English Meriting criteria Experience of register-based research, preferably using
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relevant medical science. Strong skills in data management and the ability to work with large datasets. Strong statistical analysis skills. Strong programming skills in a relevant statistical software
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to its future development. The applicant shall be well familiar with modelling techniques and software in multiphysics and/or battery modelling (Ansys, Comsol, PyBaMM or similar). The applicant should be
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code is available in this software. Furthermore, good familiarity with scientific reporting and writing is important, as you are expected to draft scientific manuscripts. Strong English skills, both