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Your Job: Catalyst synthesis and characterization: Prepare inorganic catalysts via wet-chemical methods and perform detailed chemical and physical analyses using XRD, XPS, SEM, TEM and Gas sorption
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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processes that produce energy and raw materials. The Department of Radiation Research on Biological Systems is looking for a PhD Student (f/m/d) to investigate the impact of ionizing radiation on mammalian
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | about 2 months ago
Researcher (R3) Country Germany Application Deadline 16 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, workshops, and international conferences Publication of results in peer-reviewed scientific journals Your Profile: Excellent university degree (Master’s or Diploma) in materials science, metallurgy, physics
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physical analyses using XRD, XPS, SEM, TEM, and Gas sorption analyses Electrode integration and processing studies: Incorporate catalysts into planar electrodes and investigate processing effects to ensure
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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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. Your profile A Master’s (or Bachelor’s) degree in chemistry, materials science, or related field. Desired expertise: Electrochemistry, scanning probe techniques (AFM, STM, SECM) Additional experience in
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. The way we process data produced by computational nodes is therefore constantly evolving. While historically, mainframes provided heavy lifting for dumb end user terminals, computing capabilities now
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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