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Hello, I'm with the Global Regeneration CoLab (www.grc.earth) and I volunteer with Green Releaf here in the Philippines. Green Releaf seeks a graphic recorder for three webinars we are running as part of our Regenerative Food Ecosystem Lab Consultation Workshops. The three sessions are to be held at the following days and times. PART I: Discover Best Practices, 25 November 2020 - 10:00 am to 12:00 noon, UTC+8. PART II: Define Gaps and Challenges, 27 November 2020 - 10:00 am to 12:00 noon, UTC+8. PART III: Design Regenerative Food Futures, 1 December 2020 - 3:00pm to 5:00pm, UTC+8. We are seeking a graphic artist who has experience in graphic recording at formal events such as international conferences, big or small. The right person should have a healthy interest in and understanding of climate change, environment and sustainability, complexity, interdependency and systems change, and agriculture and food systems. We are able to offer an honorarium for your contribution. Please write if interested!
For our event POSSIBLE FUTURES (www.bit.ly/tedxgrc) We are seeking a live translator or professional typist(s) to help us translate Portuguese into English - and also English into Portuguese. We are holding a 4h event where we will need a minimum of: live Portuguese-to-English speech translation live English-to-Portuguese speech translation Our ideal needs: Live stenographer/typist (Portuguese) Live stenographer/typist (English) We may be able to offer percentage compensation depending on how ticket sales go! This means we need your help - yes, that's you reading this right now - in publicising this event within your networks (: Please do share the event link widely: www.bit.ly/tedxgrc
We are currently developing a pipeline for data analysis processes such as automated species tagging and image QA. We are looking for contributors to help develop machine learning models for these processes as well as to help build an infrastructure for our data to be securely processed at scale. Skills that are essential are Python and some exposure to a deep learning libraries like PyTorch or Tensorflow is useful for modeling tasks. Experience with numpy/pandas or SQL are also useful. For those interested in infrastructure, any experience in data science pipeline engineering is useful, with tools like Apache Airflow and Kubernetes of particular use.