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School (FMRP-USP) in Brazil, is available under the Thematic Project “Deciphering Leishmania non-coding RNA function at the host-parasite interface” (funded by FAPESP, the São Paulo Research Foundation
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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improve models and codes for assessment of the liquid source term during severe accident (SA) of LWR systems. In particular, research will include assessment of the characteristics of the containment water
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: Qualifications required: The candidate must have a PhD's degree in Biophysics, Biology, Bioengineering or equivalent. Expertise in image/data analysis and coding is required (Python, Image J). Experience in cell
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 3 hours ago
. Development of numerical modules for simulating spin-resolved LBW process in PIC codes Epoch and OSIRIS. Investigation of the role played by LBW process in relevant astrophysical systems, using newly developed
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Jędrzeja Śniadeckich 8Geofield Contact City Warsaw Website https://www.impan.pl/en/job-offers/open-calls Street Jana i Jędrzeja Śniadeckich 8 Postal Code 00-656 E-Mail jrozendaal@impan.pl STATUS: EXPIRED X
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in LaTeX and good programming skills (typically in one of R, Python, or Julia, with the capacity to learn). Familiarity with, and readiness to apply, the principles of open research, including code
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mechanism and validate the efficacy of the optical approach compared to state-of-the-art electrical approach. This offer might be for you if: - You are curious about the logic of neuronal coding and/or neural
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(e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT, or fluoroscopy. Proficiency in Python coding language and
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, or fluoroscopy. Proficiency in Python coding language and best coding practices. Additional Information Benefits You will be appointed for a period of one year full-time within a very stimulating scientific