Duties: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis. A second area of our research is to examine therapeutic approaches that target vulnerabilities of cancer cells in mRNA processing and metabolism
Requirements: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply

Duties: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Requirements: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

Duties: Design, implementation and maintenance of biological knowledge graphs, databases and related applications; Integration of knowledge graph machine learning and biostatistics algorithms into applications; Design, implementation, and optimization of systems that incorporate Large Language Models to enhance local knowledge accessibility, including contributing to implementation hands-on; Research emerging trends and scientific methods in systems biology and related fields
Requirements: PhD in bioinformatics/PhD in computer and data science and related fields but with required biological or biomedical exposure/MS in afore mentioned fields with additional industry experience; Comprehensive understanding of design principles for biological knowledge graph ie. how to design database for bioinformaticians; Proficiency in languages such as Python, R, Java for data manipulation, analysis, and application development; Experience designing and implementing systems that leverage LLMs, building LLM applications with vector databases and agent architecture in frameworks like LangChain is a plus

Duties: As an integral part of the team, you will focus on fibrotic diseases and work closely with computational biologists in Genentech Computational Sciences and experimental scientists in Immunology Discovery. The goal is to design and analyze multi-omic experiments from pre-clinical models and patient samples in ways that maximize insights into fibrotic disease biology/development. These insights will directly inform novel therapeutic target/biomarker discovery and address key questions related to forward and reverse translation
Requirements: You have a Ph.D. in Computational Biology, Biostatistics, Bioinformatics, or similar, with a strong publication record. Alternatively, you have a Ph.D. in Immunology, Molecular Biology, etc. combined with a record of high-throughput data analysis, supported by publication in this area; You have a solid understanding of the relevant concepts in immunology and enthusiasm for learning more; You have broad experience with data generated by one or more high-throughput molecular assays: Next-generation sequencing, flow cytometry, etc; You have strong experience in the use of a high-level programming language such as Python or R for complex data analysis​

Duties: Analyse, integrate, model and interpret experimental data to drive the development of whole-transcriptome and whole-genome clinical tests for oncology in proof-of-concept studies; Contribute to the design and development of a standardized automated validation infrastructure for use within an ISO15189 medical testing laboratory; Develop, document, and maintain reusable bioinformatics analysis code; Work with large data sets to solve complex problems of analytical, computational, or integration-related topics; Support the participation to External Quality Assurance Schemes and inter-laboratory comparison activities; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters, Ph.D. or equivalent in Bioinformatics, Computational Biology or related field; Proficient in bioinformatic and analysis tools and packages, especially for Next Generation Sequencing (NGS) data; Experience in cancer genomics is preferred; Experience in working in an ISO-accredited laboratory is preferred; Proficient in either R or Python, comfortable with shell scripting and HPC, familiarity with git

Duties: Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo; Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts; Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project; Publish high-quality papers reporting on methodological and biological advances resulting from this work
Requirements: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required; Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required; Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required

Duties: The focus of the project is to develop quantum computing algorithms for quantum scattering in atomic and molecular systems that are expected in a fusion energy system, and demonstrate the schemes in current quantum computers. Candidates with background in (1) quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry; and/or (2) quantum computing, are preferred. Fusion energy science background is desirable but not required. The selected candidates are expected to work with a team of fusion energy scientists, atomic physicists, and quantum computing scientists. The initial appointment is for two years, with a possible third year extension depending on performance and funding availability
Requirements: Completion of a Ph.D. in STEM field within the last five years or expected completion within the current academic year. Demonstrated expertise in one or more areas of quantum computing, atomic/molecular physics, quantum chemistry, and quantum scattering broadly defined

Duties: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Requirements: Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science; A highly motivated and independent researcher with a strong quantitative scientific background; Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems; Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable; Excellent communication and writing skills; Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred

Duties: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Requirements: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting; Software development experience in languages such as Python, Scala, Java; Familiarity with scripting and process automation

Duties: Build user-friendly web applications using JavaScript with React and Node.js; Build fast, stable and efficient delivery pipelines; Update LIMS workflows to match the lab’s practices and data tracking needs; Use continuous delivery practices to deliver high-quality code; Clearly communicate project challenges and progress; Ensure code is readable, maintainable, and stable through implementation of unit and end-to-end tests; Follow programming best practices and work collaboratively in-person and through GitHub
Requirements: 3+ years of software development experience; Experience working with two or more development languages including (JavaScript, Java or Python); Experience with relational databases and/or non-relational databases (MySQL, MongoDB)

Duties: We are a Cooperative with our head office in Wettingen in Canton Aargau. Our team is made up of specialists from the field of natural sciences such as geology, physics, chemistry and biology, as well as from engineering. Communication experts and staff members dedicated to operational and administrative tasks complete our motivated team. Around 130 people are involved in the project of the century of deep geological disposal
Requirements: We crawl all higher jobs in research, teaching and administration at Nagra automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: KPMG is one of the leading providers of professional services in Switzerland with a strong global network and a well-established regional presence in both Switzerland and Liechtenstein. Known for actionable insights that lead to new opportunities and better outcomes, we serve clients from a variety of industries
Requirements: We crawl all higher jobs at KPMG automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: We promote the competitive capacity of small and medium sized companies in Alpenrheintal (Alpine Rhine valley region). We achieve this through the targeted networking of business and research with the aim of making the business location of Alpenrheintal more attractive and as a result increasing opportunities for employment. We bundle the research capabilities of several research institutions. There is a vibrant informal and professional exchange of ideas and thoughts within the framework of this partnership, which benefits the entire network. The services we offer are completed with our own applied research capabilities
Requirements: RhySearch posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: As one of only eleven Universities of Excellence in Germany, we are the only university with as many as six Clusters of Excellence. Recent decades have seen us produce more winners of the Nobel Prize and Fields Medal than any other German university. The University of Bonn has a 200-year history of combining excellent research in a range of disciplines with research-led teaching
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Bonn automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The salary survey was carried out from April until the end of May 2022 for all members of the Swiss Actuarial Association (SAA). The salary survey was conducted online and was based on the salary and bonus information from 2021
Requirements: The main goal of this salary survey was to examine the salary development on the Swiss market for actuaries since 2015 and if there is a salary gender gap. The survey was coordinated by the SAA Women's Group with the support of the University of Lausanne

Duties: Assisting in the development of all the research activities in a predefined topic and producing results; Providing support in setting-up and running experiments; Proposing and implementing real-time solutions; Participating in organizing relevant workshops and demonstrations; Assist on the laboratory setup preparation and experiment configuration
Requirements: A bachelor degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Extensive experience working in different industrial domains; Experience working with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers; Experience managing data and AI programs for schools; Strong background in image/signal processing and in particular; Performed analysis on large sets of data to extract impactful insights; Strong programming skills in Python/C/C++

Duties: Develop theoretical and methodological framework for the value of travel time estimation considering automated vehicles impacts; Design original best-worst scaling experiments and stated preference choice experiments; design questionnaires and collaborate with LISER’s survey team; Analyze the survey data; Develop models for the adoption of emerging modes using hybrid choice modeling approaches; Collaborate with the project partner at TUM and write academic papers and present the results in national/international conferences
Requirements: Ph.D. degree in transport planning/economics/engineering, or other relevant field; Excellent knowledge in discrete choice behavior modeling/travel behavior modeling/stated preference survey design; Good skills and experience in data analysis using statistical software; Excellent communication and collaboration skills; Fluency in English (speaking and writing), any other language is considered as an asset

Workload: 80-100%
Duties: Sie bearbeiten Projekte innerhalb des Themenbereichs Nachhaltige Ressourcen- und Energienutzung in der Berufs- und Weiterbildung; Auf operativer Ebene entwickeln Sie Einzelprojekte sowie Aktivitäten in der nachhaltigen Berufs- und Weiterbildung und setzen diese in Zusammenarbeit mit Akteuren der Wirtschaft und der Berufsbildung weitgehend selbständig um; Sie konzipieren und verantworten die Durchführung von Veranstaltungen, Workshops und weiteren Bildungsformaten und zeigen sich dabei für die Qualitätssicherung sowie für Kommunikationsaspekte verantwortlich; Sie begleiten Angebote im Bereich Weiterbildung (z.B. Koordination CAS); Bei Eignung und Interesse: Sie bearbeiten weitere Projekte (Wissens- und Technologietransfer, angewandte Forschung und Entwicklung) in den Bereichen Energie, Ressourceneffizienz und ökologische Nachhaltigkeit
Requirements: Abgeschlossenes Hochschulstudium im Umwelt- oder Technikbereich, alternativ pädagogisch-didaktischer Hintergrund mit ausgewiesenen Kompetenzen zu Themen der ökologischen Nachhaltigkeit; Schnelle Auffassungsgabe, analytische Vorgehensweise sowie präzise Arbeits- und Ausdrucksweise in Wort und Schrift; Hohe intrinsische Motivation für die Bewältigung von Klima- und Umweltherausforderungen in Gesellschaft, Wirtschaft und Politik; Freude an einem dynamischen und inklusiven Umfeld sowie an interdisziplinären Projektkooperationen; Französische Sprachkenntnisse sind von Vorteil; Idealerweise einige Jahre Berufserfahrung

Duties: The GNSS-R Satellite Earth Observation (GLITTER) project harnesses the power of GNSS-R (Global Navigation Satellite System-Reflectometry) for advanced Earth observation. This technique uses the reflections of GNSS signals off various surfaces - land, sea, and ice - to monitor environmental conditions. Our ambitious goal is to pioneer a new generation of experts capable of making significant advancements in this field through doctoral level education and research. At the heart of GLITTER is the development of a synchronized constellation of CubeSats, offering a cost-effective yet powerful approach to Earth observation. This innovative system allows for enhanced resolution and data accuracy through advanced beamforming techniques. Essential to our methodology are ground-truth data and calibration methods derived from near-field radar technology, which will enable comprehensive research across all facets of GNSS-R technology
Requirements: A master’s degree or equivalent in geodesy, geophysics, remote sensing, applied mathematics or physics, computer science, telecommunication engineering with a focus on remote sensing and EO, or similar; Knowledge of remote sensing techniques preferably radar techniques; ideally experience in analyzing GNSS or EO data; Strong programming skills in MATLAB, Python or C++; Highly committed, excellent team-worker, and strong critical thinking; Excellent written and verbal communication skills in English

Duties: This PhD project aims at the development of an improved distributed control of such formations of small satellites, also using a combination of solar and aerodynamic forces for propellant-less control. This will be ideal to deploy, maintain and reconfigure cost-efficiently a large formation of small satellites but requires the detailed modelling of the satellite dynamics, including the effects of aerodynamic forces (caused by the residual atmosphere in LEO) and the solar radiation pressure. After an analysis of optimal formation geometries for Earth observation, suitable orbital guidance and attitude control approaches will be developed and tested, using advanced simulation tools as well as formation flight experiments on a smaller scale with drones. These flight tests will also provide a better understanding of the level of control needed to achieve satisfactory beamforming
Requirements: The candidate should possess an MSc degree or equivalent in Control/Aerospace/Electrical Engineering, or related fields in Engineering or Computer Engineering. Solid experience/knowledge in the following areas: Mathematical and Control Engineering, especially related to spacecraft guidance; navigation and control; Modeling and simulation of spacecraft dynamics; Spacecraft formations/swarms; Control of drones and flight experiments as well as knowledge in GNSS would be an asset

Duties: One year appointment teaching all levels of mathematics courses and/or statistics courses. Duties include 12 hours of teaching each Fall and Spring semester totaling 24 hours of teaching per academic year. Courses will be made up of 3 and/or 4 credit hour courses. One year appointment with possible reappointment, pending funding and evaluations
Requirements: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Duties: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Requirements: PhD (or soon to be awarded) or equivalent industry experience in; Robotics; Signal Processing/Control; Path Planning/Trajectory Planning; Multi-Target Tracking/Multi-Object Tracking; Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches; NeRF

Duties: The candidate will work in the research group in space physics focusing on particle precipitation. The group explores how energetic particle precipitation can affect the chemistry and dynamics of the neutral atmosphere in the polar region. Energetic electrons and protons, trapped in the Earth’s magnetic field, can collide with gases in the atmosphere. These collisions initiate several chemical reactions leading to the production of NOx and HOx gases, which in turn can reduce the ozone concentration
Requirements: Applicants must hold a master's degree or equivalent education in space physics or atmospheric physics or a related field; Documented good knowledge of and experience in one or more of these areas is a requirement: high latitudinal aeronomy (chemistry and/or dynamics); processes influencing energetic particle precipitation into the atmosphere; statistical methods for handling complex data

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems

Duties: Work on unique, multi-omics datasets to support translational lung cancer metabolism research; Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data; Enjoy a close working relationship with bioinformaticians, statisticians, bench scientists, and translational researchers to establish a well-rounded multidisciplinary team; Join an institute that highly values computational research
Requirements: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data; Programming experience in statistical program R and/or scripting languages such as Python/Perl on Unix/Linux systems; Highly motivated and independent researcher with a background in cancer biology; Excellent communication and writing skills