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them not only to see but also to touch the environment around them. In order to produce useful performance, haptic applications require specific performance guarantees. The user experience in cloud-based
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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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input sanitisation techniques; Contributing to data system evolution in the domain of zero-trust, cloud-native, infrastructure- and policy-as-code applications; Run-time anti-tamper and detection software
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. the investigations into the physical consistency between different satellite-derived climate data records (e.g. aerosol and cloud properties), and the impact of inconsistencies in the data on applications. the quality
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methodologies. Understanding of integrating Bayesian approaches in NN-based model Knowledge of model deployments to cloud platforms or past work with AutoML tools. Knowledge of MLFlow for maintaining model
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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regular presentations of scientific data and significant contribution to the preparation of manuscripts. Qualifications Required Qualifications: PhD in Cell Biology or related field Preferred Qualifications
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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PhD to be part of the Nordic collaborative project PreciMENT - Leveraging Nordic Opportunities to Transform Mental Health Care through Precision Medicine. The overall goal of the project is to transform