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, Sweden during the time of your employment. You are able to work independently and communicate progress / issues clearly. You are proactive and can manage working in parallel projects if need be. You have
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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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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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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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to industrial applications. TexAI is conducted in close collaboration with a broad network of industrial partners and aims to create concrete solutions that can contribute to reduced textile waste, more efficient
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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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natural language processing with causal estimation. Recent directions in the project include using large language models to remove treatment-predictive information from text, benchmarking debiasing
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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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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