Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
part of a collaborative research team with partners from the Norwegian Polar Institute and Alfred Wegener Institute. This position offers opportunities to develop skills in satellite data analysis
-
an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
-
is an important control on hydrology. The latter will determine water supply, food security and sanitation to human communities. The paradigm is that wet regions become wetter and dry regions become
-
mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
-
, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
-
experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and data management. Familiarity with open science practices (e.g., GitHub, database management) is a plus. You are eager
-
(ELF). You will therefore collaborate intensively with international partners for support, and measurement analysis will be an integral part of your job. Your qualities You are an enthusiastic and
-
position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify
-
between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
-
related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific