Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
modular training in parallel to research activities in years 1 and 2. The duties associated with this post include: • Liaising between the cell biology and molecular biology teams
-
The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
-
wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques to study translational aspects of cancer (e.g. Cre/loxP and Flp/FRT based dual
-
biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase systems, orthotopic
-
, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research and be open to acquire novel skills in bioinformatics, biostatistics, and
-
/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
-
novel mass spectrometric techniques to improve proteome analysis. Collaborative Environment: Join an interdisciplinary team with microbiology, bioinformatics, and mass spectrometry expertise. State
-
PhD candidate in the automated detection of measurable residual disease in hematological malignancie
of measurable residual disease. Join our vibrant research environment and contribute to pioneering projects in bioinformatics and computational biology! Project overview Measurable residual disease (MRD) is an
-
: mathematical modeling (e.g., ODE and PDEs for biological processes), numerical optimization, machine learning, bioinformatics, Programming skills (preferably Python, C++, Julia and/or R), Interest in life
-
interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline