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formats: video recording, online or onsite. The question based interview will evaluate the match between the candidate’s profile and the requirements for the position, including the technical and personal
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(IP) using a safe, secure, and reliable video-conference solution (e.g., Zoom) and will las up to 45 minutes. The outcome of the interview will be a written ESR for each candidate. Phase 5. Final
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literature (relative to opportunity), especially on topics relevant to the project objectives demonstrated experience with simulation modelling and coding, especially biophysical modelling advanced statistical
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the financing, or completion of the tasks that are the subject of this call determine the expiration of the contract that will operate with the communication referred to in article 345 (1) of the Labor Code in
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qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video processing Strong experience in machine learning or deep learning for medical image
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of MIXAP on teaching and learning. We aim for a qualitative and quantitative analysis with questionnaires for teachers and students, focus groups, videos, usage logs, etc. • Provide a list of
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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construction of pulse compression systems, and building and operating optical characterization devices. Run existing simulation codes and process their results. Helping to develop new models and algorithms
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strategies are integrated into the project (e.g., video blogs and academic workshops) and the post holder will be expected to support these activities. You will have: a PhD in cardiovascular or a related field
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Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract is 1 year Temporary A job