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Daniel Schürholz is listed as PostDoc in Data Science for Marine Research at Leibniz Centre for Tropical Marine Research (ZMT) GmbH, a company with 96 employees, based in Bremen, Bremen, Germany. AeroLeads shows a matched LinkedIn profile for Daniel Schürholz.
Daniel Schürholz previously worked as Postdoctoral Researcher at Leibniz Centre For Tropical Marine Research (Zmt) Gmbh and Doctoral Student at Max Planck Institute For Marine Microbiology. Daniel Schürholz holds Doctor Of Philosophy - Phd, Ecology from University Of Bremen.
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Hola! I am a highly motivated researcher and data scientist with a transdisciplinary background, with an interest at the intersection of computer science -- specifically machine learning and computer vision -- and marine ecology. I recently graduated from my PhD in Biology at the University of Bremen, where I developed state-of-the-art AI workflows to map the biotic communities in large image plots of coral reefs and mangrove forests. My current fields of interest are Spatial Ecology, Remote Sensing, Hyperspectral Imaging, Image Processing and Machine Learning. I also have experience working as a software developer/engineer and project manager in companies based in Peru, Germany and the US. I like giving life to new ideas, shown by the fact that, with the team of "Where's the party?", we won first place at a Global Startups Lab organised by the MIT. I like meeting new people, getting to know different languages and cultures and travelling. I also love playing football (so much so that I played 3 years as a professional goalie in the Peruvian First Division), playing guitar (when possible with my band), diving and taking landscape and wildlife pictures.
Listed skills include Leadership, Learning Quickly, Python, Web Development, and 11 others.
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Bremen, Germany
Current research in Proximal Sensing for Scalable Mapping of Shallow Coastal Habitats. Research interesets span over Remote Sensing, Hyperspectral Imaging, Image Processing, Habitat Mapping and Machine Learning.
Bremen, Germany
Current research in Proximal Sensing for Scalable Mapping of Shallow Coastal Habitats. Research interesets span over Remote Sensing, Hyperspectral Imaging, Image Processing and Machine Learning.
Skelleftea, Sweden
Studying Erasmus Mundus Joint Masters Program Pervasive Computing and Communications for Sustainable Development - PERCCOMFinishes in August 2019
Melbourne, Australia
Studying Erasmus Mundus Joint Masters Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Skelleftea, Sweden
Studying Erasmus Mundus Joint Masters Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Lappeenranta Area, Finland
Studying Erasmus Mundus Joint Masters Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Nancy Area, France
Studying Erasmus Mundus Joint Masters Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Arequipa Province, Peru
Project Manager and Dev Lead at different software projects.
Other employees you can reach at leibniz-zmt.de. View company contacts for 96 employees →
Sheik Hussain Nusrathul Husna
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Kai Schrader
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Thomas Rau
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Sandra Marion Kam Tsemo
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Germany, Germany
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Khishma Modoosoodun Nicolas
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhGermany, Germany
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Estradivari .
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Désirée Schwindenhammer
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Bhakti Shah
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Ramon Alejandro
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhGreater Bremen Area, Germany
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Susann Lüneburg
Colleague at Leibniz Centre For Tropical Marine Research (Zmt) GmbhBremen, Bremen, Germany, Germany
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Thesis: Remote Sensing for Scalable Mapping in Shallow Coastal Habitats
Studying Erasmus Mundus Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Studying Erasmus Mundus Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Studying Erasmus Mundus Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Studying Erasmus Mundus Program Pervasive Computing and Communications for Sustainable Development - PERCCOM
Quick answers generated from the profile data available on this page.
Daniel Schürholz works for Leibniz Centre for Tropical Marine Research (ZMT) GmbH.
Daniel Schürholz is listed as PostDoc in Data Science for Marine Research at Leibniz Centre for Tropical Marine Research (ZMT) GmbH.
Daniel Schürholz is based in Bremen, Bremen, Germany while working with Leibniz Centre for Tropical Marine Research (ZMT) GmbH.
Daniel Schürholz has worked for Leibniz Centre For Tropical Marine Research (Zmt) Gmbh, Max Planck Institute For Marine Microbiology, Em Joint Program In Pervasive Computing And Communications For Sustainable Development (Perccom), Deakin University, and Luleå University Of Technology.
Daniel Schürholz's colleagues at Leibniz Centre for Tropical Marine Research (ZMT) GmbH include Sheik Hussain Nusrathul Husna, Kai Schrader, Thomas Rau, Sandra Marion Kam Tsemo, and Khishma Modoosoodun Nicolas.
You can use AeroLeads to view verified contact signals for Daniel Schürholz at Leibniz Centre for Tropical Marine Research (ZMT) GmbH, including work email, phone, and LinkedIn data when available.
Daniel Schürholz holds Doctor Of Philosophy - Phd, Ecology from University Of Bremen.
Daniel Schürholz is listed with skills including Leadership, Learning Quickly, Python, Web Development, Soccer, Computer Science, Computer Vision, and Linux.
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