201 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" Fellowship research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
-
communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a team player
-
interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a
-
Processes Multi-Location Trial Evaluations Further Value Chain Assessment and Development Qualifications PhD in Biological Sciences or Molecular Biology/ Biochemicals Skills: Able to code in R Perform
-
coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
-
highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
-
harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
-
-on experience in specific scope Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in hard skills / job-specific abilities
-
coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
-
learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc