Ads
:^(
:^(
Computational聽落真係好有前途,又多data玩,又多transferable l... cells既neocortical-hippocampal model咁,如果真係搵到新既neural circuit/neuronal activities去解釋cognitive processes,咁樣真係好有滿足感,好「前線」 :^(做computational果邊,淨係玩已有既data/起computational model,果種「突破的滿足感」會唔會冇咁大? :^( :^(
:^(
Thanks 巴打 :^( :^( :^( :^(
原來反而 animal model 既techniques比較容易學我以為有好多wet lab protocols要學/experiment designs,比較難上手。 :^(
咁我應該都係揀computation,或者好似你咁混合兩個一齊做,transferable同有market之餘,又有cognitive果邊既滿足感 :^(
Frankfurt am Main 果邊,如果我收唔到berstein/lmu offer,唔知ac唔accept好因為5月26前要覆,但仲有4個programs既results有排先出 :^( :^(
:^(
:^(
睇個老細對你好唔好 :^(
之前我個LAB 有個毒女 唔多出聲 係到做RA
點知做做下佢就出左唔知Nature 定Science, (同出面Co Lab)現在都唔知走左去邊囉 :^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
睇個老細對你好唔好 :^(
之前我個LAB 有個毒女 唔多出聲 係到做RA
點知做做下佢就出左唔知Nature 定Science, (同出面Co Lab)現在都唔知走左去邊囉 :^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
Ads
:^(
:^(
係囉屌 :^(
扮哂讀唔掂phD 咁點叫佢寫reference :^(
:^(
:^(
:^(
睇個老細對你好唔好 :^(
之前我個LAB 有個毒女 唔多出聲 係到做RA
點知做做下佢就出左唔知Nature 定Science, (同出面Co Lab)現在都唔知走左去邊囉 :^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
睇個老細對你好唔好 :^(
之前我個LAB 有個毒女 唔多出聲 係到做RA
點知做做下佢就出左唔知Nature 定Science, (同出面Co Lab)現在都唔知走左去邊囉 :^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
:^(
Ads
:^(
內省都可以好嚴謹㗎。句子嘅合法度好多時會超出日常會用嘅pattern,所以喺語言資料入面搵唔到啲極罕見但係又合法,或者極常見但係非法嘅結構。呢啲唔會講但係又覺得ok嘅句子,big data 幫唔到手,又其實係反映緊語言嘅構造。
:^(
:^(