New PhD and post-doc job openings! Join me and Prof. Nina Kazanina @unige_en Uni Geneva, Switzerland, to take part in an exciting project on relations and binding in language and vision, explored with cutting-edge neurophysiology (#iEEG and MEG). Full details: job offer below
L’apprentissage de la #lecture, du décodage à la lecture experte.
Un nouveau #MOOC indispensable pour les #professeurs des écoles, par Marie-Line Bosse, @UGrenobleAlpes sur @FunMooc.
Démarrage le 14 janvier.
https://t.co/niRjRXmADy
I'm looking for a PhD research intern focused on Speech/NLP to join Apple Machine Learning Research in Copenhagen, Denmark!
You can apply via : https://t.co/M5Qs1fR6bK
Please share with anyone who might be interested
@lnalborczyk We can estimate each word’s probability using "large language corpora" and calculate the sentence entropy as a weighted average of these probabilities (-log(Probas)), where lower-probability words add more information (similar to Shannon entropy).
@lnalborczyk Interesting question. I have the feeling that you've already explored the 'classics' namely lexical probabilities and/or contextual embeddings using LLMs for example. If yes, do you object to their use ? If not, why not look into that first ?
Open PhD position at @GipsaLab "Automatic prediction on intonation from speech gestures, application to voice substitution". ML+real-time systems+experiments+speech science! https://t.co/FRX2KikWGI RT appreciated ! #silentpitch@CNRSinformatics @GrenobleINP @UGrenobleAlpes
This past December, we hosted the Brain, Mind & Consciousness #CIFARWinterSchool, in partnership with @TempletonWorld, where future neuroscience leaders worked closely with world-class researchers studying the neuroscience of consciousness.
🚨@PPSP_Team is hiring! We have not 1, not 2, not 3… but 4 open positions: 2 #Postdoc, 1 #Engineer & 1 #PhD!!!🚀
🌍 Join us to integrate AI/ML & Cognitive Neuroscience for Society🧠
📢 Please, spread the word🙏 #JobAlert#Job#AcademicTwitter
ℹ️ More information in the thread 👇
📢Speech-BCI paper out📢 Decoding imagined speech is real-time is incredibly difficult, so in this study we worked to improve the decoding approach by developing an adaptive LDA classifier 👇 1/3
https://t.co/QhoU16IPf5
@Princeamongslav @Mkaabaa Ce monsieur n'en est très probablement pas à sa première "victime". C'est peut-être juste l'acte de trop. Je dirai donc enfin justice pour les précédents.
@aks007_chd @marioboc17 This year, Medvedev won the Rome Masters and was beaten by no one else than the champion Alcaraz in the semis of Wimbledon. Appreciate what the guy is doing !
And my daily routine:
I wake up at 5 am.
Get to the gym at 5:30 am.
While working out, I listen to a science podcast for 1h.
Have breakfast and respond to emails at 7:30 am.
Reach to my lab at 8 am.
Work until 6 pm.
Have a dinner at 7 pm.
Read research reviews for 60 mins.
Read a book for another 60 mins.
Write down the work plan for the next day.
9 pm: I’m in bed, thrilled to start another super-day in 8 hours.
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Sounds perfect, right?
Except that this is not real. It’s NOT about me.
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In real life:
- I can get sick of office work
- I can get sick of writing grants, papers, reports
- I can get sick of working in a lab (hell, yes!)
- I can get too tired for a gym
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My life as a scientist is not about productivity.
It’s about creativity and fulfillment.
Such a daily routine can quickly exhaust us, mentally and physically.
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As a student, postdoc or faculty:
Do NOT feel guilty when you get sick of your lab duties.
Do NOT feel ashamed of your slow writing process.
Do NOT get upset by your mental and physical fatigue.
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Your strength is in your personality and curiosity. Not a productive daily routine.
#AcademicChatter #AcademicTwitter #Phd