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Field
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participating in team projects Candidate profile (required) PhD in Neuroscience or a closely related field (by start date)
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until filled. Required qualifications: The candidate must have a PhD in Quantum, Condensed Matter or Solid-State Physics (or related topics). References: [1] Universal control of a six-qubit quantum
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applications from candidates with less than two years of postdoctoral experience after PhD defense. Required : PhD in computational biochemistry, biophysics or computational chemistry, and experience with
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Eligibility criteria You hold a PhD in chemistry, with a specialization in materials chemistry, and possess excellent knowledge in the synthesis of new organic materials as well as their characterization using
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weight of the PHUs to enable the production of stable thin-film capacitors. • These bio-based polymers will be later integrated into sustainable energy-harvesting devices by a PhD student working in close
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of referees should be sent to : Dr. Benoit Souquet (PhD), Researcher and Lab Manager – bsouquet@for.paris and Dr. Iris Marangon (PhD), Researcher - imarangon@for.paris Where to apply E-mail imarangon
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objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications Early application is highly
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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Research FieldPhysicsYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria # Qualifications and Skills: Holder of a PhD in
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch