778 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"UCL" positions in Germany
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current scientific publications. You will build an exploit database that manages vulnerable software versions and exploits. What you bring to the table Computer science degree with practical experience in
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for third- party funding YOUR PROFILE Requirements Completed scientific university studies, in particular in the subject economics, computer science, industrial engineering, business administration, or
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At the Fraunhofer Institute for Production Technology IPT in Aachen, we are creating the production of the future with more than 450 employees – digital, sustainable and resilient. In the »High-Performance Cutting« department, we develop technologies and application-oriented solutions for...
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships enable particularly gifted Master's students, doctoral candidates and (junior) researchers
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Preparation and documentation of results What you contribute You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python You have
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available in the further tabs (e.g. “Application requirements”). Programme Description The Herder Fellowship Programme is aimed at researchers of all qualification levels (doctoral students, postdocs and
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The Fraunhofer IEE in Kassel conducts research in the fields of energy management and energy system technology, focusing on: energy informatics, energy meteorology and geoinformation systems, energy
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available in the further tabs (e.g. “Application requirements”). Programme Description German and international students from any discipline and higher education institution are invited to apply
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qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness