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: PhD degree in physics. Experience in experimental research on superfluids. Mastering of micro and nanofabrication techniques. Knowledge of optomechanical and nuclear magnetic resonance techniques is
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer deposition is required Experience with surface
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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for a candidate who: Has a PhD in physics, materials science, chemical engineering, or a closely related field Experienced in electrochemical ammonia synthesis, preferrably LiNRR Strong background in
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
: Letter of motivation (max one page). CV including list of publications. Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
of publications. Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a transcript of studies (both Master’s and PhD level). Contact details