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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle
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Grenoble Observatory of Universe Sciences (OSUG) and a joint research unit (CNRS, UGA) with approximately 170 staff members and numerous temporary employees. https://ipag.osug.fr/ The CHARM team, led by
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https
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-validation, uncertainty analysis, design of experiments). Advanced proficiency in at least one programming language (Python or C++). Soft skills Ability to work independently, to operate in
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 9 days ago
for chemical or related applications; Proficiency in Python programming (TensorFlow, PyTorch, Scikit-learn). ¹ Degrees awarded by foreign institutions must be officially recognized by a Portuguese institution in
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experience, which has included at least two (2) years of web and application developer on a Linux, Apache, MySQL, and PHP (or Perl/Python) (LAMP stack). Any combination of relevant education and experience
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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: • Ph.D. in computer science or related field • Expertise in AI/ML, deep learning • Expert proficiency in Python, PyTorch
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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models