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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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position within a Research Infrastructure? No Offer Description Activities and context: The project “Co-production and Implementation of a Care and Professional Training Model in Municipal Health Units in
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, or biomolecule immobilization; fabrication of interdigitated or printed electrodes and microneedles; biological samples, ex vivo skin, or biomimetic models assays; and integrated analysis of morphological
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models for in silico screening. Lastly, they will coordinate activities with partners in Scotland and Denmark. Mandatory requirements: Ph.D. completed within the last 7 years in fields such as Immunology
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in molecular biology, with emphasis on primer design and validation and gene expression analyses. Proficiency in statistical analyses, including multivariate approaches and mixed models. Established
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; - Proven experience in an academic or industrial laboratory setting in medicinal chemistry synthesis and chemical fragment screening; - Experience in data analysis and integration, and molecular modeling
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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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evaluation in cell models. Positions: 1 Duration: 12 months, with the possibility of renewal up to a maximum of 48 months, subject to FAPESP Postdoctoral Fellowship regulations and satisfactory performance
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in a dynamic and internationally recognized group. Activities include generation of genetically-modified mouse models, isolation and in vitro culture of mouse germ and embryonic cells, molecular
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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