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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following training
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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Applicants must hold a Bachelor’s degree and a Master’s degree (or equivalent) with a minimum total of 300 ECTS credits in fields such as data science, computer science, physics, or mathematics. Candidates
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(M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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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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15 Sep 2025 Job Information Organisation/Company Research Institute for Farm Animal Biology (FBN) Research Field Agricultural sciences Biological sciences Mathematics Researcher Profile First Stage
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 2 months ago
Applicants should hold an MSc (or equivalent degree) with a strong background in physics, chemistry, mathematics or computer science, and have some knowledge of solid-state science, excellent English language