Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
pedigrees, field data, population genomics, transcriptomics, or experimental evolution. The project can be tailored to the candidate’s strengths and may combine molecular, ecological, quantitative, and
-
the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
-
to the candidate’s strengths and may combine molecular, ecological, quantitative, and experimental approaches. Collaborative environment The postdoc will join a lively international network. There are active
-
motivated Postdoctoral Researcher to join our SyMPeX project funded by the Research Council of Finland. Situated in microsurgical training and operating rooms, our interdisciplinary project combines cutting
-
factors, input prices, and externalities to waterbodies. Some of the modelled adaptation measures will be tested in field experiments. We will test rainfed and irrigated system combined with diversified
-
physics and probability. Successful candidate will work with Prof. Antti Kupiainen on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory https://probabilistic
-
are studied at different trophic levels combining biochemical and genetic analyses, stable isotopes, field and experimental studies and modelling. JYU research concentrates on studying ionomes (relative
-
candidate will work with Prof. Antti Kupiainen on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory https://probabilistic-qft.org/ . We welcome applications
-
focus on advancing chromatographic separation of biobased molecules through modelling, simulation, experimental chromatography, or a combination of these approaches, depending on your background. You may
-
to apply for our open positions. Benefits In the Materials Informatics Laboratory group, we combine electronic structure simulations and machine learning to pursue innovative applications for future