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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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switching, and quantum light shaping. Design and characterize electro-optic and thermo-optic control schemes for programmable photonic integrated circuits. Perform experimental testing and characterization
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. The candidate will gain experience in fundamental and applied research in materials science, engineering, and high-performance polymers, opening perspectives in academia and industry. Where to apply Website https
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validation of advanced photonic integrated chips and related devices. Key Responsibilities: The selected candidate will be expected to: Lead the characterization and performance evaluation of photonic
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hematopoiesis. MAIN RESPONSABILITIES • Design and perform cell culture assays and directed differentiation assays of hematopoietic stem cell sources including primary HSC (cord blood / bone marrow
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Prepare and submit proposals for high-performance computing (HPC) resources and manage allocated compute efficiently. Optimize training pipelines for scalability and reproducibility. Contribute to group
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Skills/Qualifications Profile of the Person to be Hired Qualification: Bachelor's/Undergraduate Degree in Biology. Training: PhD in Biomedicine. Duties to be performed Processing and analysis of biological
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fundamental and applied research in materials science, engineering, and high-performance polymers, opening perspectives in academia and industry. Where to apply Website https://jobs.materials.imdea.org/apply
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performed on music therapists and their clients with “Equivital” vests. The other half of the project will be conducted by a PhD fellow or research assistant under the PI’s supervision and consist in
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sintering in terms of electrical conductivity, adhesion, mechanical stability, and substrate compatibility. The candidate will perform material and device characterisation using techniques such as microscopy