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Field
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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Competencies Strong analytical and problem-solving skills. Ability to work independently and as part of a multidisciplinary research team. Excellent communication skills in English, both written and oral
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Division of Secure and Networked Systems
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involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community for cross-border
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical
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, Colloborative Governance, and Social Network Analysis. The position is part of the research centre-of-excellence CenSSUR, financed by the Swedish Civil Defence and Resilience Agency (MCF). The project studies
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are mandatory: A doctoral degree in Computer Science or a related field. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal communication