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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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Postdoctoral Research Engineer: Innovative Engineering and Automation for Single Cell Metabolomics 1
. Moreover, connecting and expanding these methods and concepts to other protein families is expected. The candidate will be co-promotor of PhD candidates within this field. Selection criteria We are looking
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, regeneration and cellular plasticity. You will employ techniques such as single-cell and spatial transcriptomics, whole-genome sequencing, high-throughput screening, CRISPR-based functional screening and patient
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to provide better quality estimates compared to variables obtained from traditional data sources? RQ2: how can we combine the two different data sources in area-level models to measure attitudes towards LGBTQ
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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contribution to marine conservation strategies. You will join a small but diverse and multidisciplinary team of research assistants, PhD candidates, residents (specialists-in-training), veterinarians
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required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and ambition can
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science