Inilah daftar Lowongan Kerja Science Terbaru Mei 2026. Terdapat sebanyak 32 Lowongan Kerja Science Terbaru Mei 2026 yang tersedia di Loker Indonesia Terbaru. Temukan karir pekerjaan Lowongan kerja science dan lowongan kerja yang serupa disini.
WFO 8 jam/hari di kantor BISA Al Academy Sawangan Depok Membantu dalam kegiatan pengajaran Membantu dalam membuat materi modul terkait Data Science Menguasai pengetahuan dan
Job Description : - Teach courses on religious studies with a focus on all religions, fostering understanding and respect for Belief in One Supreme God
Job Description: Develop modules and deliver excellent teaching according to the standards of the institution Produce high-quality research publication Participate actively in community service activities
Job Description: Assessing faculty needs for development, designing programs to meet identified needs, and assessing the effectiveness of programs from attendance, satisfaction, and outcomes Designs
Job Description: Teaching in class on respective subjects and ensuring the quality of teaching content and delivery within classes according to the standard course outline
1. Individually teaching max 12 students subjects using English. 2. Managing classroom and delivering the lesson suits the students diversity of learning. 3. Building a
OVERALL RESPONSIBILITIES: The Data Quality Analyst serves as the primary contact for the Provincial BEBAS-TB team regarding data management, analysis, and visualization of project data.
OVERALL RESPONSIBILITIES: Reporting to the National MERL Advisor and working closely with the BEBAS-TB technical and provincial team, the Data Management Associate will support the
Overall Responsibilities The District Data Associate for ICF/ACF activities is responsible for implementing and support the BEBAS-TB in data collection, entry, and reporting for systematic
Overall Responsibilities The District Data Associate for ICF/ACF activities is responsible for implementing and support the BEBAS-TB in data collection, entry, and reporting for systematic