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skills in generative models applied to the design of bioactive peptides, with a strong focus on integrating these methods into the IA4Farma ecosystem. The work will include collecting and preparing peptide
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Clinical Assistant Professor (12-month contract, Non-tenure Track) – Occupational Therapy Department
of curriculum and instructional design, including distance education. Earned clinical or research doctorate with the capacity to engage in scholarship and mentor OTD students. If applicant is an OT practitioner
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in computer-aided design and graphic editing software; Conhecimento avançado de língua inglesa e outras; Experiência de trabalho em contexto internacional. 4. Work Plan: 4.1. The purpose
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can only be signed after presentation of the recognition of the academic degree by the Portuguese authorities, in accordance with Decree-Law No. 66/2018, of August 16. Where to apply Website https
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, machine design, materials engineering, and production engineering expertise. The selected doctoral researcher will join the Machine and Vehicle Design (MVD ) research group. This group leads the way in
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Term: 1-2 years renewable Appointment Start Date: asap Group or Departmental Website: https://med.stanford.edu/content/sm/kramsmartinezlabs.html/ (link is external) How to Submit Application Materials
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recognition, and reinforce a culture of gratitude across campus. This position serves as a strategic partner to further IFR efforts as it expands relationships and philanthropy with Foundations and Corporations
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and development directions: multiscale experimental design and execution; static and kinetic modelling; calculation, design and use of CLG reactors for research purposes; investigation of interactions
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of engineered modules in colorectal cancer cell lines to assess selective recognition of aberrant O-glycosylation patterns. The selected candidate will integrate an interdisciplinary team of the project funded by
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architectures, with a strong focus on spiking neural networks (SNNs). 1 Abstract The increasing availability of spatio-temporal data has enabled significant advances in perception and pattern recognition systems