Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
disease, in particular cancer. You address this question using both different in vitro models, with the focus on embryonic stem cells and intestinal (cancer) organoids, and with tissue biopsies from
-
, python and R programming. In addition, the following will strengthen an application: Excellent communication and scientific presentation skills. Experience in broad range of standard molecular biology
-
programming skills in Python are necessary, along with an interest in combining physics with modern computational tools. Good knowledge SQLite is beneficial. Excellent ability to communicate in English, both
-
communications skills in English Documented ability in Python or Nextflow coding Experience working with machine learning frameworks such as PyTorch, TensorFlow, etc Ability to generate, tailor and deploy shiny
-
trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
-
reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing methods to make AI systems trustworthy
-
in integrative multi-omics as needed. The person we need The person we need have/is: • Strong programming skills, with proficiency in high-performance languages such as C, C++, or Python. • Familiarity
-
, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
-
, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text