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. Experience with R or Python. Experience with ML and AI. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 23093 Apply now
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modelling (FE) of externally bonded reinforcements and concrete. If possible, experience in programming (python, MatLab). Experience in scientific writing with proven track record. Very good English, German
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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, training, evaluation) Proficiency in C/C++ and/or Python for systems and AI development Ability to design and run experimental evaluations on real systems Excellent scientific writing and communication
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applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file