BME DOC📚
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کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی @BMEDOC_ADMIN Support Our Mission 🤝🏻 Donate: www.coffeete.ir/BMEDOC
Mostrar más📈 Análisis del canal de Telegram BME DOC📚
El canal BME DOC📚 (@bme_doc) en el segmento lingüístico de Farsi es un actor destacado. Actualmente la comunidad reúne a 10 194 suscriptores, ocupando la posición 19 697 en la categoría Educación y el puesto 32 160 en la región Irán.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 10 194 suscriptores.
Según los últimos datos del 09 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 27, y en las últimas 24 horas de 9, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 26.81%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 8.88% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 733 visualizaciones. En el primer día suele acumular 905 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 7.
- Intereses temáticos: El contenido se centra en temas clave como مهندسی, امیرکبیر, دانشکده, تحصیل, ریاضی.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی
@BMEDOC_ADMIN
Support Our Mission 🤝🏻 Donate:
www.coffeete.ir/BMEDOC”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 10 noviembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
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Suscriptores
+924 horas
+17 días
+2730 días
Archivo de publicaciones
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• ویدیو های کورس "اصول پردازش آماری سیگنال‌ها (SSP)"
از پروفسور حمیدرضا امین داور؛ استاد تمامِ دپارتمانِ شاخهٔ مخابرات، دانشکدهٔ مهندسی برق دانشگاه صنعتی امیرکبیر تهران
👇👇👇
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An intro to Wavelet transformation
خوب یاد بگیرید.
خواستید درسش رو با دکتر امین داور بردارید. (پردازش سیگنال پیشرفته)
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Dear Network,
I am thrilled to announce that our research group has multiple PhD openings for the Fall 2024 semester. If you know aspiring researchers passionate about machine learning with strong mathematical and analytical skills, please spread the word!
For those interested in pursuing a PhD and being part of cutting-edge research, feel free to reach out to me for more information or visit https://mmamiri.github.io/.
Thank you for helping us connect with talented individuals!
#PhDOpportunities #MachineLearning #Fall2024
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We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning.
As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies.
Requirements:
- A strong background in power systems, optimization, and machine learning
- A Master's degree in Electrical Engineering or a related field is preferred
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication skills, both written and verbal
-Experience with relevant software tools and programming languages is a plus
To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023:
-Your CV/Resume
-A letter of interest and qualifications
-All Transcripts (unofficial copies are acceptable)
-Standard test records (e.g., GRE (optional), TOEFL, etc.)
-Any publication or sample writing (if available)
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https://intra.engr.ucr.edu/~enozari/
دکتر عرفان نوذری
I have multiple Ph.D. openings for Fall 2024!
The topic of research will be at the intersection of computational neuroscience, dynamical systems, and machine learning. The set of tools that we use ranges from rigorous mathematical analysis to engineering and statistical methods. The overall goal is to make high impact contributions to the identification, analysis, and/or control of brain network dynamics.
A decent mathematical background and interest in neuroscience is required. Background in dynamical systems and control theory (broadly defined, including system identification, nonlinear dynamics, signal processing, and robotics) and familiarity with computational neuroscience is preferred.
If interested, please send me an email. Make sure to attach your CV and all your past transcripts. I ensure that every inquiry is carefully reviewed, and follow up if I see potential for admission.
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We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning.
As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies.
Requirements:
- A strong background in power systems, optimization, and machine learning
- A Master's degree in Electrical Engineering or a related field is preferred
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication skills, both written and verbal
-Experience with relevant software tools and programming languages is a plus
To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023:
-Your CV/Resume
-A letter of interest and qualifications
-All Transcripts (unofficial copies are acceptable)
-Standard test records (e.g., GRE (optional), TOEFL, etc.)
-Any publication or sample writing (if available)
