• Get paid to engage with frontier research on key policy issues (i.e., trainings, cash transfers, microcredit for small businesses) • Receive extensive training in how to read and codify quantitative social science research • Receive extensive, on-demand, and personalized supervision to help you improve your skills • Develop practical academic literacy skills complementary to more theoretical academic coursework • Help shape the research tools we use through critical feedback • Flexibly decide to work from home or interact与我们和其他早期职业研究人员一起在埃文斯顿的GPRL办公室任职•为令人兴奋的且可能有影响力的公共商品做出了贡献
AIM和座右铭是微生物学系(DOM)旨在消除对肉眼看不见生物生命的好奇心。对这种微观的知识应具有对生活的更深入的了解。It answers how life is sustained (evolution), whether there is life on other planets (exobiology), how do the microorganisms live (cell biology, physiology and genetics), how many different types of microorganisms are there (biodiversity), what is their role, how do they interact with other beings and what are the extremes of their life (biogeochemical cycles-ecology) and whether man can utilize them为了他的利益和持续存在的地球生命,包括生物技术,工业,农业,环境,医疗,食物,水和空气微生物学领域。带有座右铭“揭开隐藏的力量”,试图揭示学生和无形朋友的隐藏力量。
Kost TD、Gessler C、Jänsch M、Flachowsky H、Patocchi A 和 Broggini GA (2015) 开发出第一种对火疫病具有更高抗性的顺式基因苹果。PLoS One doi: 10.1371/journal.pone.0143980 Meng XD、Bonasera JM、Kim JF、Nissinen RM 和 Beer SV (2006) 与火疫病病原菌 Erwinia amylovora 的致病效应物 DspA/E 相互作用的苹果蛋白。Mol Plant Microbe Interact 19:53-61 Nishitani C、Hirai N、Komori S、Wada M、Okada K、Osakabe K 等人 (2016) 利用 CRISPR/Cas9 系统对苹果进行高效基因组编辑。科学代表 doi: 10.1038/srep31481
AI近年来已经变得普遍,但最先进的方法主要忽略了对AI系统的必要性。相反,AI指南提倡可竞争性(例如由OECD)和对统计决策的监管(例如gdpr)。在这个位置,我们探讨了如何在AI中和AI中实现竞争性。We argue that contestable AI re- quires dynamic (human-machine and/or machine-machine) explainability and decision-making processes, whereby ma- chines can 1. interact with humans and/or other machines to progressively explain their outputs and/or their reasoning as well as assess grounds for contestation provided by these hu- mans and/or other machines, and 2. revise their decision– making processes to redress any issues successfully raised during比赛。鉴于当前的许多AI土地层是针对静态AIS量身定制的,因此可容纳可配合的需求的需求将需要激进的重新思考,我们认为,计算论证理想地适合支持。
My work on neural substrates of cognitive aging has been funded most recently by R01-AG059028 “Mechanisms of Age-related Cognitive Decline in the Rhesus Monkey” and by R01-AG071230 (US PI: Luebke; Spanish PI: Wimmer) “CRCNS: Age-related changes to cortical dynamics underlying working memory”.In a second research track we seek to understand how layer-specific neurons and connections interact to control perceptual decision-making (R01-NS122969; Luebke and Chandrasekaran, MPI; Medalla, co-I “Multimodal characterization of prefrontal and premotor circuits underlying perceptual decision making in the rhesus monkey.”).最后,我们从事“内嗅皮质神经元选择性脆弱性的多模式表征”(R21AG084041; Luebke和Roussarie,MPI)。该项目采用跨学科的生理和转录方法来开发有关阿尔茨海默氏病中内嗅性皮质神经元死亡机制的新启示。
2023-2024俱乐部/组织赞助商俱乐部1 agape del valle/rolo均2全部2个拉丁舞蹈Abreu高中3艺术荣誉协会Reedy High School 4啦啦队(MS/HS)COYA 5 COY coya coya coya coya coy coy coy coy co. quintana o. quintana o. quintana均为2024 L. Garcia High School 7 class of 20225 Demoya of 2025 Demoya of 2025 demoya高中班级8 Coya/Figueroa高中10舞蹈荣誉协会里维拉高中11王朝 - 舞蹈俱乐部里维拉高中12 Empresses Barrios High School 13英国荣誉协会S. Quintana高中14金融素养俱乐部** Abreu高中15佛罗里达州法律荣誉协会Estrada/figuerada/figueroa高中16 FBLA(未来的商业领导者(未来的商业领袖)Cibeira/d。Garcia都是17个电影学院** MARSH高中18绿色科学俱乐部R. Perez R. Perez 19 Health&BioInformatics L. Rodriguez L. Rodriguez都20 Hip Demoya高中21 Interact L. Rodriguez高中22 Jr. Empresses Barrios/Rivera empress barrios/rivera中学23中学23 Jr. Thespians Pasteris Middle School 25 Jure Clue Club School Romero Romerero Romero Romero Romero Romero Romero Romero Romero RomerGarcia都是17个电影学院** MARSH高中18绿色科学俱乐部R. Perez R. Perez 19 Health&BioInformatics L. Rodriguez L. Rodriguez都20 Hip Demoya高中21 Interact L. Rodriguez高中22 Jr. Empresses Barrios/Rivera empress barrios/rivera中学23中学23 Jr. Thespians Pasteris Middle School 25 Jure Clue Club School Romero Romerero Romero Romero Romero Romero Romero Romero Romero Romer
博士in Physics, Chemistry, Biotechnology, Engineering or related fields Outstanding academic achievements and relevant experimental research experience Excellent Understanding of nanophotonics and/or DNA nanotechnology Ability to interact with the team, supervise students, and write scientific papers Excellent communication skills and proficiency in English We offer : Internationally competitive salaries (starting at ~90'000 CHF/year for邮政的后,包括养老金和社会费用),以确保良好的生活水平。在跨学科,多元文化和动态环境中工作,与最先进的技术和应用相关的研究问题。合作,包括计划的研究,与阿尔贝拉(Santander)教授,斯特凡尼教授(布宜诺斯艾利斯)和加西亚·埃特萨里教授(圣塞巴斯蒂扬(SanSebastián)教授)和Hiroshi Sugimoto教授(Kobe)。开始日期:2024年底/2025年开始(灵活)申请和询问:请联系Guillermo Acuna教授,Guillermo.acuna@unifr.ch.ch截止日期:10月31日。将从9月开始审查申请,尽快申请。
• New business development activities especially in infrastructure (including electricity) sector • Work closely with related external parties to promote new business development • Work closely with internal parties including the Head Quarters in Japan • Business travel to European countries is required (c. once per month) • Initiate and lead cross-border business development • Develop deal leads and manage projects through to completion whether that be investing, partnering or acquiring new companies • Interact closely with internal and external expert groups to gather industry and market information •开发新的网络/联系人/客户群•解释内部和外部业务挑战,并建议最佳的基于实践的解决方案•带领其他人解决复杂的问题并确定创新的解决方案•在欧洲地区内部和外部的SCEU充当SCEU的大使•塑造并指导我们的部门战略与总部与欧洲国家的业务旅行•需要商业旅行•需要提供商业旅行(c。每月一次)。资格/技能/个人素质/经验
AI 有望在我们生活的许多领域带来革命。过去几年,我们观察到机器学习 (ML) 算法取得了重大进展,并催生出令人印象深刻的系统,例如图像理解和自然语言识别。数据被大规模收集,可用数据集(公共或公司内部)的数量正在迅速增长,因为许多人都了解数据的基本价值。然而,许多应用程序并不关注人,它们不是以人为本的。下面,我们将讨论为什么先进的 AI 和 ML 算法和技术是不够的,以及为什么这不足以创造 AI 革命。为了取得对人类、个人和社会都有意义的真正进步,我们必须了解如何利用 AI 的新潜力和能力从根本上改变交互系统的设计。
Description Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean cen- tering, coding variables and reverse coding items, scale and cluster scores, reading and writ- ing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, ef- fect size measures), (3) missing data (e.g., descriptive statistics for missing data,错过数据模式,Little的完全随机丢失的测试以及辅助可变分析),(4)多级数据(例如,多级统计统计,组内和组相关矩阵,多级验证性因素分析,多层次验证性因素分析,特定水平的级别拟合分析,跨级别的级别测量量度分析,多数级别的多数级别的多数级别,以及5)多重级别的多重级别,多)多(5) (e.g., confirmatory factor analysis, coefficient al- pha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statis- tical analysis (e.g., bootstrap confidence intervals, collinearity and residual diagnostics, domi- nance analysis, between- and within-subject analysis of variance, latent class analysis, t-test, z- test, sample size determination), and (7) functions to interact用“飞艇”和“ mplus”。