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fields (e.g. Molecular Biology, Plant Biology, Biochemistry, Microbiology, Agronomy, or closely related field). Preferred skills: Experience with DNA extractions and PCR technology. Experience in a
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
microscopy and ultra-high-field imaging Neuroimaging software (SPM, FreeSurfer, hMRI toolbox) Programming in Python and/or MATLAB Multimodal data integration Complementary elemental analysis (e.g., PIXE, XRF
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job profile
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. Applicants should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research
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of four major Irish SFI-funded research centres: CONNECT - Centre for Future Networks & Communications, Insight - Centre for Data Analytics, Lero - Irish Software Research Centre, CONFIRM - Research
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate