Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
-
in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some
-
research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
-
Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
, contributing to the functional interpretation of genetic variants and the modelling of immunopathological pathways. The position will be closely integrated with other computational biologists
-
biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
-
for catalysis and electrocatalysis. You will develop a research activity within experimental characterization of electrocatalyst model catalysts using electrocatalysis workstations, scanning probe microscopy and
-
innovative, interdisciplinary projects. Using both in vitro and in vivo models, the successful candidate will perform functional validation of candidate genes and advance our mechanistic understanding
-
device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. Exploring hardware-level security mechanisms based
-
living tissues with synthetic scaffolds to model and repair organs. These efforts converge across three interrelated programmes; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device
-
to a solid research program with clear project goals and strong support for career development. Key Research Techniques & Models: Mouse models: Knockout, conditional knockout, transgenic, and patient