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the ESCALATION study external link on early-onset breast cancer; apply advanced statistical, and machine-learning methods to identify and validate environmental determinants of breast cancer risk; integrate
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
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restaurants. The office is easy to reach by public transport as well as by car. RSM BV is an equal opportunity employer and explicitly encourages applications from candidates of all genders, ethnicities and
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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participation in reviews Experience in technology roadmap definition and harmonisation Behavioural competencies Education A master’s degree in telecommunications, electrical or computer engineering is required
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specification and evaluation, is required. Experience with the design, development and verification of TT&C and PDT subsystems for space applications is required. Very good knowledge of modern computer systems
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the field of EMC in general, with demonstrated expertise in analysis and proven practical experience in testing. Expertise with analogue electronics design, computer-aided design or electromagnetic simulation
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be capable of working effectively in a team with minimum supervision, and have excellent communication and presentation skills. Technical and computational knowledge (including machine learning) geared