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Bioinformatics Polofesa mamanu Tiute Iopu

Taitaia metotia bioinformatics suesuega le faaaogaina ma le hypothesis i nofoaga mo fualaau faasaina faataitaiga, paiolo computational tekinolosi faafomai, paiolo proteomics . Mafai faatulagaga maua o faiga mo le iloiloina ma ona iloilo faamatalaga genomic, po o faamatalaga faatulagaina faaopoopo ma lisi.

Agavaa Tomai Galuega
  • Tausia abreast o instrumentation, biochemistries fou, po o polokalama faakomepiuta i le auai i tauaofiaga e tomai faapitoa ma le suesueina o mea faafomai.
  • Ofoina atu o faamaumauga ma pepa computational mo sailiga biologically-faavae e pei o mo se faataitaiga auiliiliga tuʻufaʻasolo mai i tupuaga, faatulagaga o Gene-faaupuga, ma faaiuga galuega tauave Gene.
  • Taitaia ai le galuega o faamatalaga tagata tekinolosi faatinoina ma tagata tomai faapitoa bioinformatics faamoemoega po o meafaigaluega i nofoaga e pei o mo bioinformatics se faataitaiga o faafomai, transcriptomics, metabolomics, ma proteomics.
  • Tuuina atu polokalame fou komepiuta po o customize polokalama nei ina ia faamalieina ai manaoga galuega togafitiga faapitoa.
  • Fatu faamatalaga fuafuaga ma lisi.
  • Faatupuina po o le suia o auala web faavae bioinformatics.
  • Faiga ma faaaogaina algorithms bioinformatics e aofia ai isi e vaaia ma mataituina le aoaoina masini, atinae malolosi, po o algorithms graphical.
  • Faatupuina ai ni auala fou computational ma metotia faiga e pei-e manaomia e sini suesuega.
  • Tuufaatasia nisi faʻamatalaga e tatau ona faaaogaina i gaoioiga mo bioinformatics faataitaiga o profiling faaupuga fausaga ma Gene.
  • faamanuiaga suesuega talanoa e ala i tusi aoga faafomai, aoaoga tauaofiaga, po o ni lipoti galuega.
  • Mamanuina maua lautele, pisinisi lisi proteomic -genomic.
  • Siaki i iloilo ina ia suesue mataupu, faatuina tekinolosi totonugalemu tali, po o le faatuina metotia e computational.
  • Iloilo datasets tele e pei o mo se faataitaiga faamatalaga faasologa genomic faamatalaga faalenatura, ma faamaumauga o faamatalaga e faatatau i galuega tauave suesuega togafitiga po o le faavae.
  • Pepa faataga o le gaoioiga e faaleleia ai.
  • Saili fautuaga mai vaega e pei o se faataitaiga mo le faalauiloaina, le atinae o pisinisi, ma gaoioiga e faafetaui oloa atinae po o le alualu i luma.
  • Galulue e faaaoga polokalama polokalame i le suiga ma le alualu i luma o bioinformatics polokalama o pisinisi.
  • bioinformatics suesuega punaoa ma fou ma talosaga.
  • Ia aotelega faatusa o mea moni e faatatau i genomes tagata.
  • Taʻu atu i isi i totonu o le filogia ma le faaaogaina o meafaigaluega e bioinformatics.
  • Faateleina interfaces tagata e bioinformatics polokalama ma lisi.

Sailiga o Iopu Manaomia
  • O le faitauina malamalama-e malamalama laina ma saunia parakalafa i pepa aloaia e faatatau i le galuega.
  • Faalogo-Active-tuuina atu o le silafia atoatoa o le mea o loo i le taimi nei o isi faapea, faaavanoaina o le taimi mo oe e te malamalama ai i le mea ua foafoaina, le fesili atu o fesili e talafeagai, ma le faaonoono i le taimi e talafeagai.
  • Lolomiina-Talanoa ma le manuia i se faiga tusitusia e le o talafeagai mo le manaoga o le aofia.
  • Talanoa-talanoa atu i isi e faasoa effortlessly faamatalaga.
  • Matematika-le faaaogaina o le numera e faaleleia faafitauli.
  • Suesuega-le faaaogaina o ni fofo ma tulafono faafoe faasaienisi e faaleleia mataupu.
  • Faitio-Mafaufau-le faaaogaina o le mafuaaga ma le mafaufau e iloa ai le malosiaga ma tulaga le lelei o le auala, faaiuga po o le fofo isi i faafitauli.
  • Aoao-Active-le iloaina o le aafiaga o faamatalaga fou mo le faafitauli-le foiaina uma oi ai nei ma le lumanai le faia o faaiuga ma.
  • Aoaoina auala-ilo ma le faaaogaina o aoaoga / metotia faaleaoaoga ma metotia saʻo mo le faafitauli pe a suesueina po o latou aoaoga mea e fou.
  • le lelei le siakiina o-TrackingPEREvaluating o oe lava, tagata e ese, po o faalapotopotoga ave gaoioiga e foia ai po o le faatupuina ai faaleleia.
  • Social Perceptiveness-O le iloa o tali othersA ma malamalama pe aisea ua latou tali ao latou faia.
  • gaoioiga Faʻatulagaina-suia e faatatau i isi’ faiga.
  • Faatauanau-lelei isi e suia mausa po o lo latou brains.
  • Feutagaiga-Aumaia isi faatasi ma le vaai atu i faalelei variances.
  • Fesoasoani-Aoaoina isi le auala e faia ai se gaoioiga.
  • Company aoaoga faamasani-Ia matuai sailia o auala e fesoasoani i tagata taitoatasi.
  • Advanced Faafitauli foiaina-ina ia iloatino faigata faigata ma suesueina faamatalaga lea e fesootai faatino o filifiliga ma e atiina ae ma iloilo filifilia.
  • Pisinisi Iloiloga-Iloiloina manaomia ma oloa e manaomia e faia ai se mamanu.
  • Engineering Design-Fetuunaiga o meafaigaluega po o le faatupuina ma tekonolosi e galulue tagata e manaomia.
  • Kia Filifiliga-le filifilia po o le ituaiga o masini ma meafaigaluega e manaomia e fai se galuega.
  • Auauai-Faaopoopoina polokalame, oloa, uaea, po o le masini e faamalieina auiliili.
  • Coding-fatuina talosaga komepiuta mo talosaga eseese.
  • Gaoioiga Mataituina-vaavaai faailoilo faaopoopo, knobs, po o faailoga ina ia mautinoa o loo i ai se mea e alu i le taimi nei faagaoioia saʻo.
  • Taualumaga ma le Pulea o-Puipuia galuega tauave o meafaigaluega po o auala.
  • Meafaigaluega Tausiga-Faia upkeep e masani i luga o masini ma filifili pe.
  • Troubleshooting-Fuafuaina itu i tua glitches e puleaina ma le filifilia o auala e faagasolo e uiga i ai.
  • Toe faaleleia-toe faaleleia faataitaiga po o auala e faaaoga ai le metotia taua.
  • Tulaga Aupito-Pulea asiasiga Suesuega-Faatinoina ma iloiloga o oloa, auaunaga, po o taualumaga e faamasino ai le lelei po o le tulaga aupito manaomia.
  • Poto ma le faia o faaiuga-O le i iloiloga o le tupe faaalu ma faamanuiaga aoao o gafatia gaoioiga e saili le tasi e sili ona talafeagai.
  • Iloiloga-Fuafuaina mea ituaiga o polokalame e tatau ona galulue ma le auala faaleleia i le siosiomaga, galuega tauave, faapea foi ma tulaga e mafai ona aafia ai faamanuiaga.
  • Auala Iloiloga-le faailoaina laasaga po o faailoilo o le faatinoga e faapea foi le laasaga sa a manaomia e faaleleia ai po o le faatinoga saʻo, e faatatau i le sini o le masini.
  • Taimi-Pulega o-le puleaina o le taimi o le isi ma vaitaimi lava o se tasi.
  • Vaavaaiga a faasaoina-Fuafuaina auala o le a vave ona faaaluina tupe maua ina ia maua ai le galuega faataunuuina, ma le tala mo nei tupe faaalu.
  • Puleaina o Mea Punaoa-Lagonaina ma le mauaina i le faaaogaina talafeagai o le vaega, meafaigaluega, ma sapalai e manaomia e faia galuega tauave faapitoa.
  • Vaavaaiga a Workers Punaoa-O le Fausia, faamalosiau, ma le taitaiina mai matua ona latou galulue, le fuafuaina o le tagata sili ona lelei mo lau galuega.
Manaoga Faaleaoaoga Manaoga aafiaga
  • Faailoga o le tagata malaga
  • Aoaoga Postdoctoral
  • Master's-tikeri
  • i luga 2 tausaga, ai-ma e aofia ai NISI tausaga
Manaoga Tomai e Pulea Galuega
  • AchievementORAttempt – 88.20%
  • fīligā – 90.20%
  • manatu faʻatū – 92.21%
  • pule – 84.76%
  • fesoasoani – %
  • Mataupu e faatatau i isi – 78.96%
  • Faatonuga Lautele – 78.95%
  • amio- pulea – 85.71%
  • faitotoa faatosinaga – 84.11%
  • VersatilityANDVersatility – 89.60%
  • le faatuatuaina – 92.37%
  • Gauai atu i auiliiliga – 91.72%
  • mālosi – 89.80%
  • saʻolotoga – 89.00%
  • tuputupu aʻe – 92.97%
  • Mafaufau Analytical – 97.00%

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