Sort by
Refine Your Search
-
contrasting edaphic conditions will be sampled across Cerrado biome using a chronosequence approach. For each land use, C and N stocks and isotope composition will be assessed. Rates of soil C change will be
-
, entrepreneurship spirit and collaboration with internal and external institutions for developing up to date scientific research and at continent level in order to address real challenges. All our programs run as
-
in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part
-
recycling processes for battery materials, including the recovery of valuable metals and minimization of environmental impact. The successful candidate will work on: Advancing current recycling technologies
-
to develop research on socio-spatial disparities and their impacts on access to essential services such as education, health, and infrastructure. The successful candidate will also work on analyzing and
-
(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
-
results at international conferences, workshops and meetings. Mentor master’s and PhD students as part of research activities. Collaborate with internal and external researchers to strengthen
-
as sensing platforms in related fields. Experience in supervising undergraduate, master's and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: Ph.D
-
, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self
-
monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance