BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CIIMAR Store, Events and Registration - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CIIMAR Store, Events and Registration
X-ORIGINAL-URL:https://events.ciimar.up.pt
X-WR-CALDESC:Events for CIIMAR Store, Events and Registration
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Lisbon
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:WEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:WET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:WEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:WET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:WEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:WET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Lisbon:20260511T100000
DTEND;TZID=Europe/Lisbon:20260515T140000
DTSTAMP:20260429T205645
CREATED:20250808T095414Z
LAST-MODIFIED:20260205T125113Z
UID:10000030-1778493600-1778853600@events.ciimar.up.pt
SUMMARY:Multivariate Statistics with R for Biological Sciences
DESCRIPTION:20 hours course \nThis course will focus on the most useful techniques of multivariate statistical analysis in Biological sciences. These will be principal component analysis\, canonical correspondence analysis\, multidimensional scaling\, discriminant analysis and cluster analysis. Other techniques\, such as correspondence analysis and factor analysis will be approached in a simpler way. Lastly\, some techniques will be approached in a very introductory way\, as it will be the case of canonical correlation\, and redundancy analysis. A brief introduction to parametron and non-parametric techniques for hypothesis contrasts (Hoteling test\, MANOVA\, PERMANOVA) will also be part of the first session. \nAlthough this course uses the R programming language as the basis for the examples and exercises\, which will undoubtedly help the student to become more familiar with it\, learning this language is not an objective of this course. \nGOALS/SKILLS \nThe general aim of the course is to become familiar with the basic concepts of multivariate statistics and to know in detail the main techniques. The methodology to do it consists of exemplified theoretical explanations\, for which the open source programming language R will be used. Students will receive the course lesson material in pdf format\, which contains the theoretical explanations together with worked examples. The examples will also be provided as scripts in R language. In addition\, students will be provided with data files\, which will be used to perform a series of exercises during class hours. These exercises will also be reviewed during class hours. \nPrerequisites: Basic knowledge of R \nINSTRUCTOR \nAldo Barreiro Felpeto is a researcher at Centro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR) associated to the University of Porto (Porto\, Portugal). His research career has focused in plankton ecology. He defended his Ph.D. dissertation in 2007 in the Department of Ecology at the University of Vigo (Vigo\, Spain) about interactions between zooplankton and toxic phytoplankton species from the Spanish NW Atlantic coast\, southern Baltic sea and southern Tirreno coast. In 2008-2010\, he performed a post-doctorate in the Department of Ecology and Evolutionary Biology at Cornell University (Ithaca\, New York\, USA). Since 2011 he is a researcher at CIIMAR.
URL:https://events.ciimar.up.pt/event/multivariate-statistics-with-r-for-biological-sciences/
LOCATION:Online
CATEGORIES:Researchers
ATTACH;FMTTYPE=image/png:https://events.ciimar.up.pt/wp-content/uploads/2025/08/COM-FOTO-GERAL-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Lisbon:20260512T093000
DTEND;TZID=Europe/Lisbon:20260512T130000
DTSTAMP:20260429T205645
CREATED:20260316T113526Z
LAST-MODIFIED:20260319T123039Z
UID:10000096-1778578200-1778590800@events.ciimar.up.pt
SUMMARY:O Regime Geral de Prevenção da Corrupção
DESCRIPTION:Esta formação foi planeada com o objetivo de dar a conhecer o Regime Geral de Prevenção da Corrupção e compreender o seu papel como instrumento de prevenção efetiva da corrupção e de infrações conexas. \n  \n\nINFORMAÇÕES GERAIS:\nEsta formação terá lugar no dia 12 de maio\, das 9h30 às 13h\, no CIIMAR e também em formato online (mas com vagas mais limitadas). Será realizada em português. \nA sessão é gratuita e dirigida aos Gabinetes de Apoio e Investigadores Principais do CIIMAR. \n  \nNOTA: O certificado de participação será emitido caso o formando compareça a\, pelo menos\, 80% do tempo total do curso. \nCaso os tickets estejam esgotados\, pode inscrever-se na lista de espera (será notificado por ordem de inscrição). \n  \n\nDESCRIÇÃO:\nEsta formação tem como objetivos específicos: \n\nConhecer o MENAC e as suas principais funções;\nCompreender a razão de ser do RGPC;\nConhecer os elementos do Programa de Cumprimento Normativo e as medidas obrigatórias.\n\n  \nConteúdo Programático: \n\nO Decreto-Lei n. 109-E/2021: o MENAC e o RGPC;\nA razão de ser do RGPC;\nAs medidas obrigatórias do RGPC:\n\nA transparência administrativa;\nA prevenção de conflito de interesses;\nA acumulação de funções;\nO sistema de controlo interno;\nA promoção da concorrência na contratação pública;\n\n\nO programa de cumprimento normativo:\n\nO Código de Ética e de Conduta: o processo de ética e integridade pública;\nO Plano de Gestão de Riscos: o processo e casos práticos;\nO canal de denúncias;\nO Programa de Formação e Comunicação: especialização\, adequação e proporcional;\nO Responsável pelo Cumprimento Normativo.\n\n\n\n  \nFormadora: Maria Luísa Coimbra \nDirigente da Unidade de Auditoria Interna e Compliance\, da Universidade do Porto
URL:https://events.ciimar.up.pt/event/o-regime-geral-de-prevencao-da-corrupcao/
LOCATION:CIIMAR\, Avenida General Norton de Matos\, SN\, Matosinhos\, 4450-208\, Portugal
CATEGORIES:Researchers,Services
ATTACH;FMTTYPE=image/png:https://events.ciimar.up.pt/wp-content/uploads/2026/03/COM-FOTO-GERAL-7.png
END:VEVENT
END:VCALENDAR