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Bioinformatics 'Oihana Ioba hana EOIeIOUIeXAOOON

Hoʻomaka hoʻokolokolo 'ana me ka hoʻohana' bioinformatics epekema a me ka kuhiakau ma ka wahi no ka hoʻohālike ai ', 'inikua loea computational kālaimeaola, proteomics kālaimeaola . Pahaʻia lilo iā ia nā papakuhikuhi no ka nana a me ka manaʻoe hana genomic 'ike, ole hou ke aloha 'ike a me nā helu i.

Trees mākau makahiki paha
  • E mālama abreast o instrumentation, hawaiian biochemistries, ole lako polokalamu ma ka hele ana i ka Aha-elele i nā 'oihana, a ina hookolokolo' inikua mea.
  • Kaumaha aku i ka mooolelo a me ka computational kani no biologically-ma muli e hahai e like me ka hoʻohālike hereditary Ka Ikepili, pane lākiō o ka'ōewe-ʻana, a me ka'ōewe kuleana pili i ka hoʻonā 'ana.
  • Kauoha i ka hana o ka 'ike loea hou' ike nā limahana ka hoʻokō 'a me ka' Oihana bioinformatics hana a me na mea paahana, i wahi e like me no paha bioinformatics i ka 'inikua, transcriptomics, metabolomics, a me ka proteomics.
  • Paka hou kamepiula papahana a hoʻopilikino keia lako polokalamu, e lawa pono ai ka hana i ho'ākāka 'lapaʻau hana koi.
  • Hana iʻikepili mau manao a me nā helu i.
  • Paha 'ole hoʻololi pūnaewele muli bioinformatics ki ina hana like.
  • Style, a hanaʻia bioinformatics algorithms me unsupervised, a ua hoʻonānā mīkini ka hoʻonaʻauao, kaiāulu hoihoi ulu, ole mea kiʻi algorithms.
  • Paha hou computational mau aoao a me kahua hoʻonohonohoʻana kāu kiʻina hana me-koi 'ia ma ka noiʻi pale.
  • I hoʻouluulu 'Ikepili ia e hoʻohana i ka hoopii no ka hoohalike bioinformatics i mea mall a me ka'ōewe' aoʻao o profiling.
  • Kamailio mai la ke noiʻi pomaikai ma 'inikua puke, Kuikahi a pau e wehewehe, a mau mea e hanaʻi hoike.
  • 'Ano i lohe nui i loaʻa, hana proteomic -genomic nā helu i.
  • Hōʻoia a me nā kānaka kālailai i ka noiʻi 'ana nīnūnē, hāpai loea-e pili ana me kana olelo ana, a kukulu iho la lakou i kūpono i ka mea computational.
  • Kālailai nui datasets e like me ka hoʻohālike genomic moʻoʻikepili maoliʻikepili, a me nā ikepiliʻikepili e pili ana i lapaʻau a walaʻauʻana noiʻi oihana.
  • Paipai aku ana, e hoʻonui.
  • Eʻimi aʻo mai na pauku e like me ia no paha ka paepaeʻana, pāʻoihana ulu, a me ka hana e synchronize huahana kūpono 'ana a me ka holo.
  • E alu like me ka hoʻohana 'lako polokalamu programmers ma loli a me ka holomua o ka bioinformatics lako polokalamu i mea hana.
  • Hookolokolo bioinformatics kumu waiwai a me ka hou a me ka palapala noi.
  • E hōʻuluʻulu manaʻo na kii o nā kūʻiʻo kanaka genomes e pili ana i.
  • E hai mai oe ia hai i loko o ka assortment a me ka hana ana o na mea paahana, i mea bioinformatics.
  • E hoomahuahua oe i kanaka Library i bioinformatics lako polokalamu a me nā helu i.

Ioba hauna e hea hana
  • Heluhelu laina, a ua mākaukau nō hoʻi paukū Comprehension-poko ia i loko o hana pili palapala.
  • Hana-Papa Hana-hoolako a pau kaʻike o nā mea 'ē aʻe i a ianoiyuaa a i ka i ana, lawe manawa no oe e maopopo i hana i nā 'ikamu, ninau nīnau like pono, aʻaʻole stifling ma he nui i ka mea kūpono.
  • Paʻi-olelo ana ma ka palapala i like 'ole no ka pono o ka hoolohe.
  • E kamailio pu ana-kamailio pu ana me kekahi poe e ae, e kaʻana like 'ike Hawaiʻi keiki.
  • Makemakika-E ho ohana makemakika e koho pilikia.
  • Research-E ho ohana i kākoʻo pāʻoihana a me akeakamai rula e koho nīnūnē.
  • Noho pilikia-manao-E ho ohana i ke kumu a me ka manao e ike i ka ikaika a me ka keakea a hoʻokokoke mai, hopena a 'ole kekahi papa hana pāʻoihana i ka pilikia.
  • Hana-Learning-ike i ka hopena o ka hou 'ike no nā nouanoao? A me ka wā e hiki mai pilikia-ka hoʻoponopono hoʻoholo-hana, a.
  • Aʻo 'hoʻokokoke mai-mau hoewaa, a ana i ao ai / ka hoʻonaʻauao' ano a me nā kiʻina hana pono no ka pilikia o këia a me nâ kula mea i mea hou.
  • O kéu-TrackingPEREvaluating ka hoʻokōʻana o oe iho, kanaka i nāʻokoʻa, a hui lawe remedial hana a hiki paha ke hana hou.
  • Social Perceptiveness-No ka ike o othersA pane a me ka comprehension ke kumu e pane ana ka mea, ke hana.
  • Ōhumu-hoano e hana me ka nānā 'ole i ka' ē aʻe’ ana.
  • Aneane-He Haʻi'ōlelo'ē aʻe, e hoololi aeʻano a me kā lākou mau lolo nona ka.
  • Ke kūkā 'ana-lawe' ē aʻe me Kāʻeokūlani, a me ka nana i ka laua hakaka.
  • Kōkua-ao aku ia hai pono pehea e hana ai i ka oni ana.
  • Company kohoʻia-Imi imi hoʻokokoke mai, e kōkua kanaka.
  • Pae holomua Lālā wehe pilikia-hanohano nō hoʻi eiiieaena pilikia a me ka noiʻiʻanaʻikepili i ua pili hoʻokō i nā koho a me ka hoʻomohala, a Loiloi i mau koho.
  • Pāʻoihana ka loiloi-ina hookolokolo pono a me ka mea kuai, pono e hana i manao.
  • Enekinia, Design-Adapting na mea paahana, a me ka hoʻomakaʻia a me ka 'ike loea hou no ka papa kanaka pono.
  • Kapa Anahonua-ka hoʻoholo 'ana i ke' ano o ka lako a me na mea paahana e pono e hana i kekahi hana.
  • Installment-Ka pepa papahana, huahana, kaula, ole i na mea maalea, e lawa pono ai ka hoakaka.
  • Helu kuʻina-haku kamepiula palapala noi no kekahi mau noi.
  • Ana ka mālamaʻana-Ke hōʻike 'ia nā lepa, knobs, a me nā hoailona e maopopo lea ai, he mea he mea hāpai mīkini a ianoiyuaa a ke hoʻohana pono 'ia.
  • Ke Kaʻina Hana a me Na Makuahine-pale oihana o ka lako a pan paha i kūpono.
  • Lako a malama-hana upkeep i mea oaeouee ma lako a pan a me ka hoʻoholo 'ia.
  • Troubleshooting-hoomaopopo ana kumumea ma hope glitches mea e mālama 'a me ka koho ana e hoomau aku e pili ana ia.
  • Hou-hou Ke Ana Hoʻohālike 'ole' ana i kūpono ka hoʻohana 'ana i ka nui ki ina hana like.
  • E like ai-Na Makuahine Research-ae hana i ka nānā 'ana a me ka loiloi' ana o ka waiwai, lawelawe, a kaʻina hana e hoʻoponopono laulā a me kona mea e like.
  • Ke akamai a me ka Kiʻikuhi Koho ana-Lālau aʻela ia i loko o noonoo i ka mau na lilo a me ka pomaikai o Loaʻaʻia hana, e huli i ka kekahi i ka mea kūpono loa.
  • Ka Ikepili-hoomaopopo ana i ke ano o ka? Ia? Aiiu e hana a pono pehea hou i loko o ke kaiapuni, oihana, like pono me wahi, i hiki ke hopena maika.
  • Nā Papahana ka loiloi-nä kapuai a me nā hoailona o ka hana likeʻana me nāʻanuʻu i ka pono no ka hoʻoikaika 'ana a me ka pololei hana, i pili i ka pahu hopu o ka mea.
  • Manawa-Management-noho mana ana i ka manawa o ka 'ē aʻe a me kekahi mau iho au.
  • E hoʻomalu o makauliʻi-ka hoʻoholo 'ana i loaa e koke e hoolilo ia e kiʻi i ka hana ana o keia, a me ka helu mahina no kēia mau hoolilo.
  • Management o Material Sources-Aʻike a me ka loaa ana i ka ka hanaʻana kūpono o nā hiʻona, hana, a me ka lako e pono e hana pakahi kuleana pili i.
  • E hoʻomalu i nā He hana i Resources-Building, me ka paipai pū, a me ka mana ana ma luna kamaaina no ka mea kuleana pili i ka mea,, hoomaopopo ana i ka loa maikaʻi kanaka no ka oukou oihana.
aʻo koi Experience koi
  • Pili ka degere
  • Postdoctoral aʻo
  • Master's-degere
  • Over 2 makahiki, mai-i a me ka hookomo pu i kekahi makahiki
Trees Na Makuahine Hawaiʻi koi
  • AchievementORAttempt – 88.20%
  • manaopaa – 90.20%
  • Initiative – 92.21%
  • Authority – 84.76%
  • kōkua – %
  • ?? lelo e pili ana i kekahi – 78.96%
  • SocialʻAoʻao – 78.95%
  • Selfcontrol – 85.71%
  • puʻe paepae – 84.11%
  • VersatilityANDVersatility – 89.60%
  • Trustworthiness – 92.37%
  • Noonoo ana i ka Details – 91.72%
  • Oiaio – 89.80%
  • Liberty – 89.00%
  • Development – 92.97%
  • mākau noʻonoʻoloi – 97.00%

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