What we need here as data science is to solve problems with automatic solutions. For a signal processing - ML data scientist, we focus on processing medical signals using signal processing and ML together. In this job, signal processing is used as an initial tool to process the raw data, transform it into a suitable space and extract the required information from it. This part is the most highlighted for the job title. If required, further analysis would be done using machine learning.
What we need here as a signal processing - machine learning data scientist: Processing raw medical signals using signal processing tools, extracting required information from them, using the information to make an expert's work easier (as an assistant tool), or do inference about the state of the signal (diseased/healthy) like an expert in a real task with performance higher than or comparable to the human expert.
The required knowledge:
Signal processing knowledge, transformations, and filters, temporal and spatial series
Basics of machine learning, classical machine learning models, and the known issues in machine learning models (e.g. overfitting, batch effects, and ...)
Knowing about how to verify the algorithm to make sure there is nothing wrong with it (e.g. biasedness to a batch of data)
The required education:
BSc in Electrical Engineering/Mathematics/Physics/Computer engineering/Computer Science
The required skills:
Completely dominant to python (and a fast coder in python!)
Strong understanding of signal processing techniques, when each of them should be applied, how they work, and what are their effects.
Familiar with signal processing tools in python
Completely dominant to NumPy and pandas
Ability to mix signal processing and machine learning
The required experiences:
At least one year in signal processing
At least one project with a large, preferably real, data in signal processing
At least one project (even small) in machine learning
Benefits:
Having a clear career path
Flexible schedule
Health insurance
Talented colleagues
Supported by Prof. Rabiee
The possibility of publishing paper
Possible to passing duty (military service)
معرفی شرکت
تیم CommaMed، متشکل از جمعی از دانشجویان و فارغالتحصیلان آزمایشگاه یادگیری ماشین و علوم داده دانشگاه صنعتی شریف میباشد که در سال ۱۳۹۸ شکل گرفته است. هدف از تشکیل این تیم، تلاش برای ایجاد پیوندی بین علوم پزشکی و هوش مصنوعی و کمک به پزشکان و متخصصان برای تشخیص بیماریها با کمترین هزینه و بیشترین سرعت و دقت میباشد. AI-Med، با کمک محققان برجستهای در زمینهی هوش مصنوعی، در تلاش است که خدمات بیشتری در زمینهی تشخیص و درمان بیماریهای مختلف از جمله سرطان به سراسر کشور و حتی جهان، عرضه کند.
رابطه مستقیم با سازمان بهداشت جهانی و درخواستهای متعدد داخلی و خارجی برای دریافت سامانههای آی مد نویدبخش آیندهای روشن برای این مجموعه میباشد.
https://t.me/med_aimed