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/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital
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. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong
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Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of
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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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degree in Engineering, Computer Science, Physics, or a related field, with a strong research interest in sustainable energy technologies and automated systems. Demonstrated experience in programming
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have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics or a related subject (or comparable proven experiences) Practical
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Your Job: The MOI-V Manchot Graduate School`s research programme focuses on the functional characterisation of molecules that are essential for infections with a wide variety of pathogens
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to educational events, such as university lectures, JSC courses and hackathons. Your Profile: Excellent Master in Computer Science, Mathematics, or Physical Science, Very good knowledge and proven skills with
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research