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knowledge of SAS software; fluency in English, both spoken and written, for participation in international activities and collaborations; availability to reside in Piracicaba, state of São Paulo, Brazil
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the mechanisms of immune regulation in sepsis, with a focus on neuroimmune and interorgan communication. It is also desirable for the candidate to have a strong interest in modelling gene regulatory
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and high-performance computing environments; • A reasonable knowledge of immunology is also desirable; • It is also desirable for the candidate to have a strong interest in modeling gene regulatory
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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electrochemical sensor or biosensor development. Proficiency in electrochemical impedance spectroscopy (EIS), cyclic voltammetry, pulse techniques, and/or amperometry. Knowledge of morphological, structural
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to staff position within a Research Infrastructure? No Offer Description Activities: The post-doctoral researcher will develop machine learning models to evaluate the effectiveness and cost
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? No Offer Description Field of knowledge: Chemistry / Biochemistry / Cell Biology / Photobiology FAPESP process: 2024/15255-9 Project title: Betalains: triplet-species-quenching antioxidants? Working
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years. Demonstrated research experience in cropping systems, evidenced by peer-reviewed scientific publications. Experience in data analysis and modeling using R and/or Python. Knowledge of statistical
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nutritional analyses, together with knowledge of experimental design and statistical analysis, is required. Desirable requirements: Candidates should have a strong publication record in indexed international