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different conditions using existing software (written in Fortran). Analysis of data using quantitative genetics tools (e.g., calculation and comparison of genetic and phenotypic covariance matrices
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of properties of building materials. - Publishing Scientific articles in the field of study. - Documented laboratory and field sampling and analyses. - Experience in using software. e.g. OpenLCA, BIM, Matlab
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digital manufacturing, woodworking, material testing and characterization, and advanced software and digital facilities. Being part of Chalmers, a top Swedish university with strong industry ties and a
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AI, Autonomous Systems and Software Program (WASP). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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Important for this Position: Practical experience handling large Swedish national registers (population-wide data). Documented expertise in R or equivalent statistical software. Strong experience with SCCS
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
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for instance to socio-technological networks. The Division of Automatic Control has a strong commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . This recruitment is potentially eligible
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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Software Defined Radios Radar Remote Sensing Electromagnetic Propagation Driver’s License Level B (car) We put a large importance to personal qualities, such as team work, problem-solving and the ability
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected