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B.L. De Vries is listed as Astrophysicist, PhD and Scientific Visualization Expert at SURF, a company with 753 employees, based in Rheden, Gelderland, Netherlands. AeroLeads shows a matched LinkedIn profile for B.L. De Vries.
B.L. De Vries previously worked as Scientific Visualization Consultant at Surf and Data Scientist at Netherlands Escience Center. B.L. De Vries holds Doctor Of Philosophy (Ph.D.), Astrophysics from Katholieke Universiteit Leuven.
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B.L. De Vries is a Astrophysicist, PhD and Scientific Visualization Expert at SURF. He possess expertise in python, object oriented programming, physics, mathematics, data analysis and 23 more skills. He is proficient in English.
Listed skills include Python, Object Oriented Programming, Physics, Mathematics, and 24 others.
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Amsterdam Area, Netherlands
At SURF I work on several visualisation and machine learning projects and I give courses on scientific visualisation. Currently I am working on ray tracing in curved space-time. Implementing numerical solutions to Einsteins theory of gravity into Blender and making realistic images of blackholes. Check it out here.
Amsterdam En Omgeving, Nederland
One of the projects I worked on is "Emotion Recognition in Dementia. Advancing technology for multimodal analysis of emotion expression in everyday life". My task was (1) to use machine learning to analyse video data, extracting facial and spoken expressions and (2) to make custom visualisations for the results and interpretation. This was a collaboration.
Stockholm Astrobiology Centre, Sweden
During my stay at the Stockholm Observatory I set up an interdisciplinary team with expertise in astronomy, mineralogy and meteoritics. The aim was to search for observables of planet(tesimal) evolution in other planetary systems. The idea I suggested was to measure meteoritic minerals in the laboratory (in the mid infrared) in such a way that we can.
Leuven, Belgium
During my PhD I performed data analysis on infrared observations from, among others, the Herschel Space Observatory. This space telescope was launched at the start of my PhD and I obtained several observing hours through a competitive, peer-reviewed application procedure. For the analysis of the data I modelled radiative transfer processes and the.
Other employees you can reach at surf.nl. View company contacts for 753 employees →
Lynda Hardman
Colleague at Surf
Amsterdam, North Holland, Netherlands, Netherlands
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EA
Edwin Ammerlaan
Colleague at Surf
The Randstad, Netherlands, Netherlands
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RK
Ryanne Keltjens
Colleague at Surf
Arnhem, Gelderland, Netherlands, Netherlands
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JM
Jocelyn Manderveld
Colleague at Surf
Sittard, Limburg, Netherlands, Netherlands
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FF
Floris Fokkinga
Colleague at Surf
Hattem, Gelderland, Netherlands, Netherlands
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SK
Sanne Koenen
Colleague at Surf
Amsterdam, North Holland, Netherlands, Netherlands
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SS
Sendy Send
Colleague at Surf
Indonesia, Indonesia
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IB
Ida Bezemer
Colleague at Surf
The Randstad, Netherlands, Netherlands
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CN
Claudia Nascimento
Colleague at Surf
São Paulo, São Paulo, Brazil, Brazil
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MD
Marlies De Vries
Colleague at Surf
Amsterdam, North Holland, Netherlands, Netherlands
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* Incl. first author Nature publication
* Cum Laude * Minor in Computer Science * Selection of courses in Philosophy
Groningen, The Netherlands.
Quick answers generated from the profile data available on this page.
B.L. De Vries works for SURF.
B.L. De Vries is listed as Astrophysicist, PhD and Scientific Visualization Expert at SURF.
B.L. De Vries is based in Rheden, Gelderland, Netherlands while working with SURF.
B.L. De Vries has worked for Surf, Netherlands Escience Center, Esa/Estec, Stockholm University, and Research Foundation Flanders - Fwo.
B.L. De Vries's colleagues at SURF include Lynda Hardman, Edwin Ammerlaan, Ryanne Keltjens, Jocelyn Manderveld, and Floris Fokkinga.
You can use AeroLeads to view verified contact signals for B.L. De Vries at SURF, including work email, phone, and LinkedIn data when available.
B.L. De Vries holds Doctor Of Philosophy (Ph.D.), Astrophysics from Katholieke Universiteit Leuven.
B.L. De Vries is listed with skills including Python, Object Oriented Programming, Physics, Mathematics, Data Analysis, Machine Learning, Git, and Sql.
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