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. Possess advanced statistical and computational skills for analyzing large, complex omics datasets and generating biologically meaningful insights. Experience with controlled or field-based plant phenotyping
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innovation. Contribute to scientific training activities including summer schools, workshops and international conferences hosted in Andorra. Languages You have excellent command of spoken and written English
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. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation. What are we looking for in you? Personal
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publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical
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Initiation Research Fellowship (BII 182581), in the scope of the Research Unit CIIC – Computer Science and Communication Research Centre, within the project “NEUROLYMPICS - Neuro-Centric Multimodal Control
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(reading and writing), and mathematics as fundamental skills critical to educational success. The current position is tied to one of two planned randomized controlled trials that will test the effects
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and have the conditions to be enrolled) as BA or MA Students (Bolsa de Iniciação à Investigação) in Archaeology or related areas. Applicants must have a good oral and written command of Portuguese and
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a robot (T1); 3) Develop a program to control the actuators and collect the input of the sensors (T2); 4) Support Empirical evaluation with children(T4). Legislation framework: Research Fellowship
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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to precisely control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers indispensable to modern manufacturing. As we enter the Digital Manufacturing/Industry 4.0 era