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Open nowPosted 54 days ago

Internship

EURES job mobility portal370,340 open roles

Where
Agglomeratie ’s-Gravenhage, Netherlands
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Your applicationOpen nowInternshipEURES job mobility portal · Agglomeratie ’s-Gravenhage, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 54 days ago

EURES job mobility portal median: 3 days open

The posting

Geselecteerde taal: EN - Sustainable - Circular and industrial construction - Go to Mobility and logistics - - Efficient drug development - Medical devices - Work health - - - Accurate geo-location with nanosatellites - PERSEUS wind turbine radar interference assessment tool - Military use of space - Integrated combat capabilities - - Safe and efficient mobility - Semicon and quantum - - - Terms and conditions of employment - Recruitment process - Inclusive organisation - Career development - - TNO Traineeship - Talent development programme - Team Polar - Newsroom - Collaboration - Projects on commission - Public-private - TNO Fast Track - TNO Ventures - Innovation centres Geselecteerde taal: EN - Internship | Teaching a Drone Where to Look for Better 3D Reconstructions Locatie: The Hague Werken op afstand: Hybrid Opleidingsniveau: Master Uren per week: 32-40 hours/week Vacancy 914 Internship | Teaching a Drone Where to Look for Better 3D Reconstructions Make your mark on our time. Become an intern at TNO! About this position At TNO, the Netherlands Organisation for Applied Scientific Research, researchers work on turning cutting-edge science into technology that matters in the real world - from healthcare and energy to defense and mobility. Within TNO's work on autonomous systems, one recurring challenge is teaching machines to see, understand, and act in complex, unpredictable environments - the same kind of everyday messiness that makes tasks trivial for humans but remarkably hard for robots. This internship sits within that effort, focusing on drones that can autonomously make a good 3D reconstruction. You will study a drone that plans its own flight path for 3D scanning, deciding in real time where to fly next based on what it has already captured, rather than following a fixed grid or orbit and hoping the result reconstructs well. Using fast, lightweight 3D foundation models (like VGGT o...

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