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Your Job: Adaptive Control Theory (ACT) provides mathematically grounded and robust learning rules, prescribing that neurons should be diffusively forced toward a teacher trajectory and achieve
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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journals Your Profile: Master’s degree in soil chemistry, bioengineering, biochemistry, bioinformatics, or applied mathematics Hands-on experience in using differential calculus Solid knowledge in soil
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, engineering, mathematics or a related field of study Huge interest in data science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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2 Sep 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research...
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with