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Open nowPosted 26 days ago

Scientific Programmer

EURES job mobility portal370,340 open roles

Where
Zuidoost-Noord-Brabant, Netherlands
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Your applicationOpen nowScientific ProgrammerEURES job mobility portal · Zuidoost-Noord-Brabant, 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

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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 26 days ago

EURES job mobility portal median: 3 days open

The posting

Scientific Programmer - GenAI Full-time: 40 hours per week Regular About this job We are currently looking for a Scientific Programmer to join the team in Eindhoven . As a Scientific Programmer, you will have the unique opportunity to raise systems engineering competencies in the high-tech industry to a higher level by building on the knowledge and insights generated through research projects in collaboration with other (industry) partners. If you are passionate about leveraging generative AI (LLM) to revolutionize system and software engineering, we are looking forward to hearing from you! Scientific Programmer - GenAI Main responsibilities - You will conduct assessments of current engineering processes and identify opportunities to integrate GenAI . - You will develop and present methodological recommendations for generative AI solutions that enhance system and software design, development, and operational efficiency, while working in close collaboration with other research teams to deploy these techniques effectively in an industrial environment . - You will work in the research line System Architecting and Engineering Methodologies , investigating the development of digital engineering assistants , using Generative AI-based techniques. This will empower professionals to achieve faster data-to-insights in quality and knowledge management processes. - You will develop proofs of concept to demonstrate the problem, prototype different scenarios for a solution, demonstrate the value , constraints and benefits of these solutions, and help bring them into industrial practice . - You will provide expert guidance on generative AI best practices, tools, and methodologies to the engineering teams. - You will monitor and evaluate the performance of GenAI implementations , offering insights for continuous improvement. - You will stay abreast of emerging generative AI trends and technologies, assessing their potential impact on ...

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