5,257 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" Postdoctoral positions
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insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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of no. 1 Post-doctoral Appointee, according to art. 22 bis of Law 240/2010 Where to apply Website https://www.unimib.it/lavora-noi/incarichi-post-doc/incarichi-post-doc-posizion… Requirements Additional
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of no. 1 Post-doctoral Appointee, according to art. 22 bis of Law 240/2010 Where to apply Website https://www.unimib.it/lavora-noi/incarichi-post-doc/incarichi-post-doc-posizion… Requirements Additional
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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salary of $60,000 and health benefits. The recipients will each teach one course per academic year, serve as informal mentors to graduate students in the field, and participate in the intellectual life
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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-doctoral Fellow in the Division of Applied Oral Sciences & Community Dental Car Applications are invited for appointment as Post-doctoral Fellow in the Division of Applied Oral Sciences & Community Dental
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM