463 engineering-computation-"https:" "https:" "https:" "https:" "https:" positions in Germany
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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. Your qualifications: Master’s degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field. Strong interest and commitment to pursuing a Ph.D
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/ double degree programme No Description/content The Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE) is an international doctoral programme that was established in May 2007
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21 Feb 2026 Job Information Organisation/Company ESO - European Southern Observatory Research Field Physics Technology » Space technology Researcher Profile Leading Researcher (R4) Established
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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publications and project reports Supervision of Bachelor and Master students Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or
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are offered at the Max Planck Institute. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning