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time of appointment. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES
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stimulation, and application of pharmacologic compounds during patch clamp experiments. Maintaining the electrophysiology rig, keeping accurate records of experiments, performing data analysis, and creating
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26 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Technology » Energy technology
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14 Apr 2026 Job Information Organisation/Company Université côte d'azur Department DRH Research Field Computer science » Digital systems Researcher Profile Recognised Researcher (R2) Established
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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language processing), machine learning, or data science. Preferred Qualifications Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3
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. in computer science or a related field and will have prior experience collaborating with large, interdisciplinary teams. The candidate will be a strong self-starter who is capable of both working
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and analyzing large secondary datasets, including but not limited to administrative claims data, electronic health records, national surveys, and disease registries. The applicant should have advanced
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD