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-to-independence transition mentoring will be provided. Please send your application including CV, research plan and references at your earliest convenience, but not later than September 10, 2025 to Professor
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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studying Mechanical, Civil or Wind Energy Engineering in a master´s program. Do you have experience using Python and have already had some touchpoints with wind energy and system engineering? You understand
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methods for simulating and validating drive trains and drive train components of wind turbines. A particular focus of our work is on creating detailed simulation models that can be used to plan, support
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work results and progress in regular team meetings What you bring to the table Enrollment in a master’s program in life sciences, biotechnology, biomedicine, or a related field Initial experience with
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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30.04.2025 Application deadline: 17.06.2025 The Institute for Historical Regional Studies and Historical Ancillary Sciences at the Faculty of Humanities at the University of Tübingen invites
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cells are widely used in many applications due to their standardized design, high stability and good heat dissipation. Laser beam welding is preferred for electrical interconnection in module construction
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your work plan. Applications must be submitted at least three months before the planned research stay. Possible funding period: 1.3.2024 to 31.12.2025. The grant is non-renewable. Value Depending
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow