Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. The application of fibre-drawing methods in battery manufacturing is disruptive, placing this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from
-
physiological data, as well as with prior experience in participant recruitment and/or experimental testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related
-
experimental results. Keep detailed logs for pseudovirus and glycoprotein samples. Collaboration: Work closely with postdoctoral researchers, PhD students, and technical staff. Provide technical support across
-
Facilities. The successful applicant will join a vibrant and interdisciplinary project encompassing several theoretical and experimental research groups that use a wide variety of methods to study
-
involvement methods. Applicants will ideally have some knowledge of theories and frameworks relevant to implementation science (e.g. Normalisation Process Theory, CFIR). Your knowledge and experience will
-
Management: Document procedures, sample inventories, and experimental results. Keep detailed logs for pseudovirus and glycoprotein samples. Collaboration: Work closely with postdoctoral researchers, PhD
-
adapt methods for electronic structure theory Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent
-
that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new experimental pipelines. You’ll publish in leading
-
modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
-
to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student