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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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of data are interconnected (including mixed effects modelling). In addition, hands-on experience will be gained from applying all the experimental methods that were used to generate the existing data in
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not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and
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mainly be theoretical, but LTU has testbeds for potential experiments. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as
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requires demonstrated commitment to international research partnerships and documented experience of collaborative engagement with a diversity of stakeholders (both academic and non-academic) across Africa
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, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
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. Previous experience in flow cytometry, adipocyte or immune cell cultures, molecular biology techniques or analysis of large data will be considered a merit, but are not obligatory. We place great emphasis
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the experience of providing ‘good care’, as well as whether and how psychologists and counsellors integrate digital tools into their daily work. This doctoral project examines how chat, video, e
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international databases, as well as experiments. More information about the research can be found here . The position is located in Lund. Within the research group, we value a good working environment with