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- Computer Vision Center
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- Centre for Genomic Regulation
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- IRTA
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Photonic Sciences
- Universitat Pompeu Fabra
- University Miguel Hernandez
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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, members of the Vision, Language and Reading research group at the CVC. For more information visit: http://vlr.cvc.uab.es/ THE COMPUTER VISION CENTER The selected candidate will work in the Computer Vision
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in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international collaboration meetings, schools and workshops. Development of transferable
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quality alarm protocols based on machine learning: thresholds, alert workflows, and response or shutdown measur. Analyze data (time series) and develop quality indicators to support municipal decision
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, transcriptomics, proteomics), machine learning, statistical analysis and programming languages such as R or Python. - Experience in image analysis, including development of custom ImageJ plugins and workflows
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or pre-printed at least one primary research paper as first or co-first author You have some experience in experimental work Desirable but not required/ Nice to have A strong foundation in machine learning