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Bioinformatics Anthu Job Udindo Chinsinsi

Kuchititsa kufufuza ntchito njira bioinformatics ndi kungoganizira mu malo kwa mankhwala Mwachitsanzo, sayansi ya zamankhwala zowerengera zamoyo, proteomics zamoyo . Mwina Kamangidwe tatenga mitunduyi kwa kupenda ndi processing mudziwe kutengera mapangidwe, kapena zina organic nkhani ndi mindandanda.

Ntchito Luso Zofunikira
  • Kuyenda kwa zipangizo, biochemistries atsopano, kapena mapulogalamu ndi kukachita misonkhano kuti ali akatswiri komanso kufufuza zipangizo zachipatala.
  • Kupereka umboni ndi zida zowerengera yochitira zinthu biologically ofotokoza monga mwachitsanzo cholowa kusanthula, mlingo wa jini zakukhosi, ndipo jini ntchito kutsimikiza.
  • Kutsogolera ntchito ogwira luso mudziwe ndikukhazikitsa ndi akatswiri bioinformatics zolinga kapena zipangizo mu malo monga kwa bioinformatics Mwachitsanzo kuti ndi mankhwala, transcriptomics, metabolomics, ndipo proteomics.
  • Ndisonyezeni mapulogalamu atsopano kompyuta kapena ikonza mapulogalamu pano kukwaniritsa yeniyeni matenda amafuna ntchito.
  • Pangani deta zojambula ndi mindandanda.
  • Kupanga kapena asinthe ukonde zochokera bioinformatics njira.
  • Kalembedwe ndi ntchito ma aligorivimu bioinformatics kuphatikizapo lopanda munthu woyang'anira ndi kuyang'aniridwa kuphunzira makina, chitukuko chakuya, kapena ma aligorivimu mawonekedwe.
  • Kupanga njira zatsopano zowerengera ndi njira mwadongosolo monga-chofunika ndi mipherezero kafukufuku.
  • Kulemba uthenga kwa ntchito zochita Mwachitsanzo bioinformatics kuti ndi structural ndi jini akuti profiling.
  • ubwino Kucheza kafukufuku kudzera m'mabuku zachipatala, ulaliki msonkhano, kapena malipoti ntchito.
  • Kutiumba m'zinenero, malonda proteomic mindandanda -genomic.
  • Funsani akatswiri kufufuza nkhani, akamufunsirire umisiri zokha mayankho, kapena kukhazikitsa njira zimene zowerengera.
  • Pendani datasets chachikulu monga mwachitsanzo kutengera mapangidwe mndandanda deta zachilengedwe deta, ndi deta deta okhudza ntchito yachipatala kapena zofunika kafukufuku.
  • Amalangiza ntchito zolimbikitsira.
  • Malangizo kwa zigawo monga mwachitsanzo kulimbikitsa, chitukuko malonda, ndi ntchito kuti synchronize mankhwala chitukuko kapena patsogolo.
  • Othandiza ntchito mapulogalamu mapulogalamu kusintha ndi patsogolo bioinformatics mapulogalamu ndi malonda.
  • Kupenda zinthu bioinformatics ndi ntchito yatsopano ndi.
  • Pangani mwachidule mafanizo mfundo zokhudza genomes anthu.
  • Uzani ena mwa assortment ndi ntchito zipangizo ndi bioinformatics.
  • Kuonjezera polumikizira munthuyo bioinformatics mapulogalamu ndi mindandanda.

Job Zinthu Amafunika
  • Kuwerenga mizere kumvetsa-kumvetsa ndi ndime okonzeka mu zolemba ntchito yokhudzana.
  • Yogwira-Kumvetsera-kupereka kuzindikira lonse zimene ena panopa kuti, kutenga nthawi kuti inu mukumvetsa zinthu olengedwa, ofunsa mafunso yoyenera, osati silifooketsa anthu ofuna pa nthawi zoipa.
  • Kusindikiza-Kulankhula bwino mu kulemba osati ndizosayenera kuti zofuna za omvetsera.
  • Kulankhula-akulankhula kuuza ena mudziwe effortlessly.
  • Masamu-Kugwiritsa masamu kukonza mavuto.
  • njira Research-Kugwiritsa ndi malamulo sayansi kukonza mavuto.
  • Tili-Maganizo-Kugwiritsa chifukwa ndi kuganiza kuti kuzindikira mphamvu ndi kuipa kwa njira, mfundo kapena njira zina zothetsera kusamvana kuti mavuto.
  • Yogwira-Learning-Kudziwa zotsatira za mfundo watsopano kwa onse amene alipo ndi tsogolo othetsera mavuto posankha zochita ndi.
  • Kuphunzira Njira-kutola ndiponso kutsatira chiphunzitso / njira yophunzitsira ndi njira yoyenera vuto pamene kuphunzira kapena wotsogolera zinthu zatsopano.
  • Afufuze-TrackingPEREvaluating dzuwa la nokha, anthu zosiyana, kapena mabungwe kanthu choipa kapena kupanga patsogolo.
  • Social Perceptiveness-Kudziŵa mayankho othersA ndi kumvetsa chifukwa iwo anatani pamene iwo kuchita.
  • Mgwirizanowu bongo zochita ndi za anthu ena’ miyeso.
  • Kukopa-Kugwiritsa ena kuti asinthe makhalidwe kapena ubongo wawo.
  • Kukambirana-Kubweretsa ena ichitikire ndi kuyang'ana kuyanjanitsa variances.
  • Kuthandiza-Kuphunzitsa ena monga kupanga kusuntha.
  • Company lathu-kufunafuna mwachangu njira kuthandiza anthu.
  • MwaukadauloZida Vuto Kuthetsa-Kusiyanitsa mavuto komanso kufufuza deta chokhudzana kugwiritsa options ndi kukhala adziwe masankhidwe.
  • Mabizinesi Lounikira-Kusanthula amafuna ndi malonda ayenera kupanga kapangidwe.
  • Engineering Design-Kuzoloŵera zipangizo kapena ikuyambitsa ndi luso liziyenda munthu amafunika.
  • Zida Kusankha-kusankha mtundu wa zida ndi zipangizo kuchita ntchito.
  • mapulogalamu chigawo-Kuwonjezera, mankhwala, mawaya, kapena zipangizo kukwaniritsa specifications.
  • Wolemba pulogalamu-ankalemba ntchito kompyuta ntchito zosiyanasiyana.
  • Ntchito Kuwunika-Kuwona zizindikiro zina, Knobs, kapena zizindikiro kuonetsetsa pali chipangizo chamagetsi panopa chimagwira ntchito moyenera.
  • Kayendesedwe ndi Control-Kupewa ntchito zida kapena njira.
  • Zida kukonzanso-Kuchita ku- kuti ndi chizolowezi pa zida ndi kusankha pamene.
  • Zovuta-Kuona zinthu kumbuyo glitches amene yosamalira ndi kusankha momwe chitani za izo.
  • Akukonza-akukonza zitsanzo kapena njira pogwiritsa ntchito njira zofunika.
  • Quality-Control Research-Kuimba nyimbo chavuta ndi kuwunika kwa katundu, ntchito, kapena njira kuweruza mogwira kapena khalidwe.
  • Nzeru ndi kupanga lingaliro-Kuganizira ndalama ambiri ndi ubwino zochita angathe kupeza amene ali zoyenerera.
  • Analysis-Kuona ziti pulogalamu ayenera kugwira ntchito ndiponso mmene patsogolo chilengedwe, ntchito, komanso zinthu zingasinthe zimakhudza ubwino.
  • Njira Lounikira-Kudziwa njira kapena zizindikiro za ntchito komanso masitepe anali ndi chosowa kusintha kapena ntchito zolondola, wachibale zolinga chipangizo.
  • Time-Management-Kulamulira nthawi ena nthawi imodzi mwiniyo.
  • Kuyang'aniridwa ndi ndalama-Kuona mmene ndalama posachedwapa anakhala kuti ntchito yakwaniritsa, ndi mlandu ndalama izi.
  • Management Nkhani Sources-Kulandira ndi kupeza kwa magwiritsidwe yoyenera mbali, zida, ndi zofunikira kuchita ntchito makamaka.
  • Kuyang'aniridwa wa anyabasa Resources Nyumba, yolimbikitsa, ndi kutsogolera anthu chifukwa amagwira ntchito, kudziŵa anthu abwino kwambiri kwa mumagwira ntchito.
maphunziro chikalatachi Experience chikalatachi
  • Digiri yoyamba
  • Maphunziro Postdoctoral
  • Digiri yachiwiri
  • pa 2 zaka, mmwamba-ndi kuphatikizapo zaka ENA
Ntchito Control Luso chikalatachi
  • AchievementORAttempt – 88.20%
  • kulimbikira – 90.20%
  • Initiative – 92.21%
  • Authority – 84.76%
  • thandizo – %
  • Nkhani zokhudza Ena – 78.96%
  • Malangizo Social – 78.95%
  • Kudzigwira – 85.71%
  • Anzanu pakhomo – 84.11%
  • VersatilityANDVersatility – 89.60%
  • wodalirika – 92.37%
  • Kumvetsera Tsatanetsatane – 91.72%
  • mphamvu – 89.80%
  • Liberty – 89.00%
  • Development – 92.97%
  • Analytical Maganizo – 97.00%

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