ÇÁ·ÎÁ§Æ® ¸®´õ/¿¬±¸¿ø(Computational biology/ bioinformatics), ÇÁ·ÎÁ§Æ® ¸®´õ/¿¬±¸¿ø (AI/ML),
±¹³» TOP Á¦¾à±×·ì »ý¸í°úÇבּ¸¼Ò(¼¿ï ¼Ãʱ¸ °³²´ë·Î ±Ù¹«)
1.ÇÁ·ÎÁ§Æ® ¸®´õ(Computational biology/ bioinformatics) ä¿ë
[ÁÖ¿ä ´ã´ç ¾÷¹«]
[¸®´õ½± ¿ª·®] ⁃ Computational biology/bioinformatics (Àü»ê»ý¹°ÇÐ ¹× ÀÇ»ý¸íÁ¤º¸ÇÐ Àü¹®°¡) ¹Ú»ç ÇÐÀ§ ÈÄ 3³â ÀÌ»ó Á÷Àå °æÇèÀÚ ⁃ ´Ù¸¥ ±â°ü »çÀÌ (e.g., ±â¾÷°ú ±â¾÷ ¶Ç´Â ±â¾÷°ú Çб³)¿¡¼ ÁøÇàµÇ´Â Çù·Â¿¬±¸±â¾È ¹× ÁøÇà °æÇèÀÚ ⁃ ±â°ü¿¡¼ ÇÁ·ÎÁ§Æ® ÆÀ ¸®µå, ¿¬±¸ Àü·« ¼ö¸³ ¹× ¿î¿µ °æÇèÀÚ. [ ±â¼ú/Áö½Ä ¿ª·®] ⁃ Genomics (e.g., DNA-Seq), transcriptomics (e.g. RNA-Seq, scRNA-Seq), multi-omics (e.g. proteomics data, CyTOF or Flow Cytometry) data analysis and data integration using AI models (À¯Àüü ¹× ¸ÖƼ ¿À¹Í½º µ¥ÀÌÅÍ ºÐ¼® ¹× ÀΰøÁö´É ¸ðµ¨À» ÀÌ¿ëÇÑ ÅëÇÕ¿¬±¸ °æÇè) ⁃ Gene therapy development support (e.g., DNA/mRNA codon optimization) via biological sequence analysis/optimization (e.g. DNA, RNA, and protein) (À¯ÀüÀÚÄ¡·á °³¹ß¿¡ ÇÊ¿äÇÑ ½ÃÄö½º µ¥ÀÌÅÍ ºÐ¼®) ⁃ Genomics (e.g. DNA-Seq), transcriptomics (e.g. RNA-Seq, scRNA-Seq), multi-omics (e.g. CyTOF or Flow Cytometry) data analysis and modeling (À¯Àüü ¹× ¸ÖƼ ¿À¹Í½º µ¥ÀÌÅÍ ºÐ¼® ¹× ¸ðµ¨¸µ) ⁃ Systems biology analysis (½Ã½ºÅÛ »ý¹°Çп¡ ´ëÇÑ ºÐ¼®¿¬±¸) ⁃ Target ID/validation and disease characterization (Áúº´ Ÿ°Ù ¹ß°ß°ú °ËÁõ, ¹× Áúº´ °ü·ÃÇÑ µ¥ÀÌÅÍ ºÐ¼®) - CRISPR screen analysis (Å©¸®½ºÆÛ µ¥ÀÌÅÍ ºÐ¼®) - RNA/protein structure prediction (Àü»çü¿Í ´Ü¹éÁú ±¸Á¶ ºÐ¼® ¹× ¿¹Ãø) |
[ÀÚ°Ý ¿ä°Ç]
[Çʼö¿ä°Ç] ÇØ´çºÐ¾ß Ph.D. [¿ì´ë»çÇ×] ⁃ ±â¾÷ ¿¬±¸ °æÇè ⁃ ¹Ú»çÈÄ ¿¬±¸ÀÚ °úÁ¤ ¼ö·á - Experience with biological sequence data analysis (½ÃÄö½º µ¥ÀÌÅÍ ºÐ¼® ¹× ¸ðµ¨¸µ °æÇè) 2. ¿¬±¸¿ø(Computational biology/ bioinformatics) [ÁÖ¿ä ´ã´ç ¾÷¹«]
[±â¼ú/Áö½Ä ¿ª·®]: ¹Ú»ç ¿¬±¸¿øÀº ÀÌ Áß 4°³ ÀÌ»óÀÇ Ç׸ñ °æÇè, ¼®»ç ¿¬±¸¿øÀº 2°³ ÀÌ»óÀÇ Ç׸ñ °æÇè ⁃ Genomics (e.g., DNA-Seq), transcriptomics (e.g. RNA-Seq, scRNA-Seq), multi-omics (e.g. proteomics data, CyTOF or Flow Cytometry) data analysis and data integration using AI models (À¯Àüü ¹× ¸ÖƼ ¿À¹Í½º µ¥ÀÌÅÍ ºÐ¼® ¹× ÀΰøÁö´É ¸ðµ¨À» ÀÌ¿ëÇÑ ÅëÇÕ¿¬±¸ °æÇè) ⁃ Gene therapy development support (e.g., DNA/mRNA codon optimization) via biological sequence analysis/optimization (e.g. DNA, RNA, and protein) (À¯ÀüÀÚÄ¡·á °³¹ß¿¡ ÇÊ¿äÇÑ ½ÃÄö½º µ¥ÀÌÅÍ ºÐ¼®) ⁃ Genomics (e.g. DNA-Seq), transcriptomics (e.g. RNA-Seq, scRNA-Seq), multi-omics (e.g. CyTOF or Flow Cytometry) data analysis and modeling (À¯Àüü ¹× ¸ÖƼ ¿À¹Í½º µ¥ÀÌÅÍ ºÐ¼® ¹× ¸ðµ¨¸µ) ⁃ Systems biology analysis (½Ã½ºÅÛ »ý¹°Çп¡ ´ëÇÑ ºÐ¼®¿¬±¸) ⁃ Target ID/validation and disease characterization (Áúº´Å¸°Ù ¹ß°ß°ú °ËÁõ, ¹× Áúº´ °ü·ÃÇÑ µ¥ÀÌÅÍ ºÐ¼®) - CRISPR screen analysis (Å©¸®½ºÆÛ µ¥ÀÌÅÍ ºÐ¼®) - RNA/protein structure prediction (Àü»çü¿Í ´Ü¹éÁú ±¸Á¶ ºÐ¼® ¹× ¿¹Ãø) | [ÀÚ°Ý ¿ä°Ç]
[Çʼö¿ä°Ç] ⁃ Ph.D ¶Ç´Â M.S. ÈÄ ¹Ú»çÇÐÀ§¿¡ »óÀÀÇÏ´Â °æÇè. Ph.D´Â ÇØ´ç¾÷¹« 2³âÀÌ»ó, M.S.´Â ÇØ´ç¾÷¹« 3³âÀÌ»ó °æÇè [¿ì´ë»çÇ×] ⁃ ±â¾÷ ¿¬±¸ °æÇè ⁃ Biomedical data analysis and modeling (ÀÇ»ý¸í µ¥ÀÌÅÍ ºÐ¼® ¹× ¸ðµ¨¸µ °æÇè) |
3.ÇÁ·ÎÁ§Æ® ¸®´õ(Artificial intelligence/machine learning) ä¿ë [ÁÖ¿ä ´ã´ç ¾÷¹«]
[¸®´õ½± ¿ª·®] ⁃ Computer science, computer engineering, statistics, mathematics, physics ºÐ¾ß ¹Ú»ç ÇÐÀ§³ª ÀÌ¿¡ »óÀÀÇÏ´Â ÇаúÀÇ ¹Ú»ç ÇÐÀ§ ÈÄ 3³â ÀÌ»ó °æÇèÀÚ, ¶Ç´Â ÇØ´ç ºÐ¾ß ¼®»ç ÇÐÀ§ ÈÄ 6³â ÀÌ»ó Á÷Àå °æÇèÀÚ ⁃ ´Ù¸¥ ±â°ü »çÀÌ (e.g., ±â¾÷°ú ±â¾÷ ¶Ç´Â ±â¾÷°ú Çб³)¿¡¼ ÁøÇàµÇ´Â Çù·Â ¿¬±¸ ±â¾È ¹× ÁøÇà °æÇèÀÚ ⁃ ±â°ü¿¡¼ ÇÁ·ÎÁ§Æ® ÆÀ ¸®µå, ¿¬±¸ Àü·« ¼ö¸³ ¹× ¿î¿µ °æÇèÀÚ. [ ±â¼ú/Áö½Ä ¿ª·®] ⁃ Cloud computing environment set-up and management including high-performance computing (HPC) or GPU instance (AWS °°Àº Ŭ¶ó¿ìµå ÄÄÇ»Æà ȯ°æ ¼Â¾÷, °ü¸®. HPC³ª GPU ¼¹ö ¼Â¾÷ ¹× °ü¸®) ⁃ Deeply understanding machine learning and deep learning methods and extensively developing models to solv real-world problems (¸Ó½Å·¯´×°ú ÀΰøÁö´É/µö·¯´× ¹æ¹ýÀÇ ±íÀº ÀÌÇØ ¹× ½ÇÁ¦ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ ±¤¹üÀ§ÇÑ ¸ðµ¨¸µ °æÇè) ⁃ Research on data science, statistics, mathematics to solve real-world problems (µ¥ÀÌÅÍ »çÀÌ¾ð½º¿Í Åë°è, ±×¸®°í ¼öÇÐÀûÀÎ ¹æ¹ý/¸ðµ¨¸µÀ» ÅëÇØ ½ÇÁ¦ ¹®Á¦¸¦ ÇØ°áÇß´ø ¿¬±¸ °æÇè) ⁃ Run AI, deep learning for disease research and new therapeutics development (ÀΰøÁö´É°ú µö ·¯´×À» ÀÌ¿ëÇÑ Áúº´ ¿¬±¸ ¹× »õ·Î¿î Ä¡·á¹ý °³¹ß) ⁃ Deep knowledge on and experience with large language model and graph model (°Å´ë ¾ð¾î ¸ðµ¨ ¹× ±×·¡ÇÁ ¸ðµ¨¿¡ ´ëÇÑ ±íÀº ÀÌÇØ¿Í °æÇè) | [ÀÚ°Ý ¿ä°Ç]
[Çʼö¿ä°Ç] ⁃ Ph.D ¶Ç´Â M.S. ÈÄ ¹Ú»çÇÐÀ§¿¡ »óÀÀÇÏ´Â °æÇè. [¿ì´ë»çÇ×] ⁃ ±â¾÷ ¿¬±¸ °æÇè ⁃ Biomedical data analysis and modeling (ÀÇ»ý¸í µ¥ÀÌÅÍ ºÐ¼® ¹× ¸ðµ¨¸µ °æÇè)
4. ¿¬±¸¿ø(Artificial intelligence/machine learning) ä¿ë [ÁÖ¿ä ´ã´ç ¾÷¹«]
[±â¼ú/Áö½Ä ¿ª·®] ⁃ Cloud computing environment set-up and management including high-performance computing (HPC) or GPU instance (AWS °°Àº Ŭ¶ó¿ìµå ÄÄÇ»Æà ȯ°æ ¼Â¾÷, °ü¸®. HPC³ª GPU ¼¹ö ¼Â¾÷ ¹× °ü¸®). ⁃ Deeply understanding machine learning and deep learning methods and extensively developing models to solv real-world problems (¸Ó½Å·¯´×°ú ÀΰøÁö´É/µö·¯´× ¹æ¹ýÀÇ ±íÀº ÀÌÇØ ¹× ½ÇÁ¦ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ ±¤¹üÀ§ÇÑ ¸ðµ¨¸µ °æÇè) ⁃ Research on data science, statistics, mathematics to solve real-world problems (µ¥ÀÌÅÍ »çÀÌ¾ð½º¿Í Åë°è¿¡ ´ëÇÑ ¿¬±¸ °æÇè). ⁃ Run AI, deep learning for disease research and new therapeutics development (ÀΰøÁö´É°ú µö ·¯´×À» ÀÌ¿ëÇÑ Áúº´ ¿¬±¸ ¹× »õ·Î¿î Ä¡·á¹ý °³¹ß) | [ÀÚ°Ý ¿ä°Ç] | [Çʼö¿ä°Ç] ⁃ Ph.D ¶Ç´Â M.S. ¾Æ´Ï¸é ¿©±â¿¡ »óÀÀÇÏ´Â ºÐ¾ß¿Í ÇÐÀ§ Ph.D´Â ÇØ´ç¾÷¹« 2³âÀÌ»ó, M.S.´Â ÇØ´ç¾÷¹« 3³âÀÌ»ó °æÇè [¿ì´ë»çÇ×] ⁃ ±â¾÷ ¿¬±¸ °æÇè ⁃ Biomedical data analysis (ÀÇ»ý¹° µ¥ÀÌÅÍ ºÐ¼®) °æÇè
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