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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Master student (m/f/d) - R&D Innovative Technologies department - temporary

Octapharma
Found 1 month ago
Location
Wien, Austria
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
EUR 3,395.16
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • ML & image analysis libraries
  • statistics
  • data analysis
  • unsupervised/supervised ML concepts
  • Image classification
  • machine learning techniques
  • Image data analysis
  • feature extraction & engineering
  • ML pipelines
  • Model performance assessment
  • validation
  • robustness assessment
  • statistical metrics

Soft Skills

  • High motivation
  • willingness to learn
  • Personal responsibility
  • flexibility
  • ability to work in a team
  • Precise way of working

Job Description

This Master’s project is intended to complement your education and provide you with insight into the work and activities of the R&D department of a pharmaceutical company. The project should last 6 months, and supervision of a master’s thesis on the topic of “Image classification in biopharmaceutical industry using machine learning techniques” is offered Supporting the Vienna R&D team with the following tasks: Image data analysis and feature extraction & engineering Development of machine learning (ML) pipelines using (un)supervised methods Model performance assessment, validation, and robustness assessment using appropriate statistical metrics Benchmark ML-based classification against expert-based and/or orthogonal methods Documentation within the scope of the above-mentioned tasks

Requirements

  • Student with a scientific or process engineering background, preferably in statistics, bioinformatics, computer science, bioprocess engineering, physics or similar
  • Interest in writing a master’s thesis on image analysis and ML applied to biopharmaceuticals
  • Mandatory lab courses during the studies are completed
  • Solid programming skills (Python REQUIRED; ML & image analysis libraries is advantageous)
  • Understanding of statistics, data analysis and unsupervised/supervised ML concepts
  • High motivation and willingness to learn
  • Very good knowledge of spoken and written English
  • Interest in gaining experience in pharmaceutical R&D
  • Personal responsibility, flexibility, and ability to work in a team
  • Precise way of working

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • ML & image analysis libraries
▶Apply Now

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