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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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across different occupations in the Swedish labor market. The tasks involve collaborating with our researchers to process occupational classifications, harmonize census data, develop machine learning
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phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives Multiscale modelling to better
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language. Experience in statistical modeling and/or machine learning. Experience with curation, preprocessing and/or analysis of omics data. Excellent communications skills in English, both verbal and
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to developing technical methods such as natural language processing (NLP), large language models (LLMs), and critical visualization tools, while collaborating closely with community partners and organizations
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applying deep learning and/or machine learning models to medical imaging data. Other information This is a permanent position, 100 % of full time. Starting date in October 2025 or according to agreement. How
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software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English. Place of employment: Karlskrona
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and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social