- Bioinformatician, Machine Learning using Rust and R.
- I don’t use and l don’t like LLM.
- Typos in posts are meaningless auto-correct.
- Sports Model Trainer
- Read fake replies i suffered and don't support that👇 fake account and people
All new interviews, previously rejected job offer and interviews, if they are re-opened or not joined.
All the posts on fake will be removed after job interviews and selection.
Curriculum vitae: www.icloud.com/iclouddrive/...
The same, I will develop with my employer and the startup. I do all of that what they do and at very high level and in addition all scientific and machine learning.
There is a huge gap and demand.
The same, I will develop with my employer and the startup. I do all of that what they do and at very high level and in addition all scientific and machine learning.
There is a huge gap and demand.
I said, i never stop anyone from submitting anywhere so i said who are you to interfere in mine.
- People should consider and support
I said, i never stop anyone from submitting anywhere so i said who are you to interfere in mine.
- People should consider and support
Rust 🦀 and Burn 🔥 Wasm.
- High throughput parallel threaded with inbuilt genome annotation and machine learning
- Releasing soon. Started coding this today evening.
Rust 🦀 and Burn 🔥 Wasm.
- High throughput parallel threaded with inbuilt genome annotation and machine learning
- Releasing soon. Started coding this today evening.
- bee microbiome
- coral microbiome
- plant microbiome
A entire microbiome machine learning in Rust 🦀. HPC graded and all algorithm under one hood with Rust 🦀.
Will add everything in some days so to complete
- bee microbiome
- coral microbiome
- plant microbiome
A entire microbiome machine learning in Rust 🦀. HPC graded and all algorithm under one hood with Rust 🦀.
Will add everything in some days so to complete
- plant, coral, bee genomics and genome exploration.
- new feature extraction for plant, coral genomes.
A localized version to make it easier for wet lab experiments.
- plant, coral, bee genomics and genome exploration.
- new feature extraction for plant, coral genomes.
A localized version to make it easier for wet lab experiments.
- a elastic net machine classifier approach for 3D chemical modelling of bee 🐝 glue
- coral chemical compounds.
- bacterial compounds chemical reactions.
- a elastic net machine classifier approach for 3D chemical modelling of bee 🐝 glue
- coral chemical compounds.
- bacterial compounds chemical reactions.
- Profiling all the sequence information from long reads.
- Profiling all the sequence information from long reads.
- Annotating and filtering variants using the terminal.
- Genomic filtering of variants.
- Annotating and filtering variants using the terminal.
- Genomic filtering of variants.
- Terminal based HPC utility for the fasta scan for the sequencing facilities.
- Terminal based HPC utility for the fasta scan for the sequencing facilities.
- Linking variants for genome prediction
- Linking annotations to variants.
- Linking variants for genome prediction
- Linking annotations to variants.
- Terminal based variant view for genome analysis.
- HPC Graded parallel threaded.
- Terminal based variant view for genome analysis.
- HPC Graded parallel threaded.
- Genomic variants filtering.
- Machine learning using egraph.
- Genomic variants filtering.
- Machine learning using egraph.
- You are not entitled to make the personal decision for any other person.
- You have no right to interfere into someone life without their permission.
- You should not act as a contact or suggesting person
- You are not entitled to make the personal decision for any other person.
- You have no right to interfere into someone life without their permission.
- You should not act as a contact or suggesting person