{"id":2718,"date":"2020-02-04T00:20:47","date_gmt":"2020-02-04T00:20:47","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2718"},"modified":"2020-02-08T20:40:10","modified_gmt":"2020-02-08T20:40:10","slug":"best-links-of-the-week-54","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/02\/04\/best-links-of-the-week-54\/","title":{"rendered":"Best links of the week #54"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 27th January to 2nd February<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. NeurIPS 2019 Too Big<\/a> at the Gradient Pub<\/a>.<\/li>
  2. AI effect<\/a> at Wikipedia<\/a>.<\/li>
  3. Num fim de semana, programadores tchecos criaram um site de gra\u00e7a pelo qual ministro planejava gastar 16 milh\u00f5es de euros<\/a> at Sul21<\/a>.<\/li>
  4. Com big data, pol\u00edtico de centro corre risco de sumir, afirma especialista<\/a> at Folha de S\u00e3o Paulo<\/a>.<\/li><\/ol>\n\n\n\n

    Blog posts<\/h4>\n\n\n\n\n\n\n\n
    1. NeurIPS 2019 Stats<\/a> at Diego Charrez<\/a>‘s Medium.<\/li>
    2. What we learned from NeurIPS 2019 data<\/a> at NeurIPS Conf<\/a>‘s Medium.<\/li>
    3. Google\u2019s Data Science Interview Brain Teasers<\/a> at Terence Shin<\/a>‘s Medium.<\/li>
    4. Web scraping is now legal<\/a> at Tom Waterman<\/a>‘s Medium.<\/li>
    5. Key trends from NeurIPS 2019<\/a> at Chip Huyen’s Blog<\/a>.<\/li>
    6. Six things I always google when using ggplot2<\/a> at Isabella Vel\u00e1squez’s Blog<\/a>.<\/li>
    7. The Price of Code Golf<\/a> at Amador Pahim’s Blog<\/a>.<\/li><\/ol>\n\n\n\n

      Podcasts<\/h4>\n\n\n\n
      1. Yoshua Bengio: Deep Learning<\/a> at MIT Artificial Intelligence (AI) Podcast<\/a>.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Opportunity for visiting researchers in Health Economics, Applied Econometry, Public Health, Epidemiology, and Demography<\/a> at IEPS.<\/li>
        2. Postdoctoral opportunity in closed-loop control primitives in big data systems<\/a> at\u00a0the University of Glasgow.<\/li>
        3. Ph.D. fellowship on Model Interpretation for Deep Neural Networks<\/a> at the University of Antwerp and Ghent University. <\/li>
        4. AI\/ML\u00a0Engineer (NLP)<\/a> at GSK.<\/li>
        5. AI\/ML\u00a0Engineer (Knowledge Graph)<\/a> at GSK.<\/li>
        6. 2 Lectureships in Machine Learning and Computer Vision<\/a> at University of Cambridge.<\/li>
        7. Deep Learning for Visual Tracking and Re-Identification from UAV<\/a> at the University of Udine.<\/li>
        8. Several Ph.D. \/ Postdoctoral opportunities<\/a> at ADAPT Centre.<\/li>
        9. Lecturer\/Senior Lecturer in Machine Learning (Multiple positions)<\/a> at the University of Melbourne.<\/li>
        10. Call for Ph.D. or PostDoctoral Researcher to Develop Data Mining Methods for Personalized Cancer Screening<\/a> at SimulaMet, Cancer Registry of Norway, Lawrence Livermore National Laboratory (LLNL), and Karolinska University Hospital.<\/li>
        11. Multiple Openings (Ph.D. student\/Postdoctoral Researcher) on Multi-Modal Data Mining Methods for Omics Data Fusion<\/a> at Simula Metropolitan Center for Digital Engineering (SimulaMet), University of Copenhagen, University of Amsterdam and COPSAC (Danish Pediatric Asthma Centre, Copenhagen).<\/li>
        12. Data Strategy and Data Operations Intern<\/a> at iClinic.<\/li>
        13. Data Scientist<\/a> at Mutual.<\/li>
        14. Product Owner – Pleno<\/a> at iClinic.<\/li>
        15. Several opportunities<\/a> at Sympla.
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