Duties: The Department of Mathematics and Statistics at Auburn University invites applications for several one- or two-year postdoctoral positions. Each year is considered a 12-month appointment. The two-year appointments would be non-renewable, while the one-year appointments would be renewable once pending need, satisfactory performance, and availability of funding. Each postdoctoral scholar is responsible for teaching 3 courses per year. The desired starting date is August 16, 2022
Requirements: Applicants must have earned a PhD or equivalent degree in Mathematics, Statistics, or a closely related field by the time appointment begins. The candidates selected for this position must be able to meet eligibility requirements for work in the United States at the time the appointment is scheduled to begin and continue working legally for the proposed term of employment. In addition, candidates must possess excellent written and interpersonal communication skills

Workload: 100%
Duties: Capacitate teachers, advisory teachers, officers, inspectors, principals on inclusive education practices; Support in setting up tutoring groups for learning support; Support the implementation of visual and hearing screenings; Design continuous professional development programmes on inclusive education
Requirements: Knowledge and understanding of inclusive education (degree or working experience); Training of trainers’ skills or adult education; Good command of written and spoken English; Monitoring and evaluation skills; Strong leadership; Residence in Switzerland or Germany

Duties: We do our best to support young students in their initiatives in finding a job shadowing placement. However, we receive a very high number of applications for internships and are only able to offer a limited number of placements to students. This “job shadowing” is for a period of minimum 1 day up to 4 weeks (less than a month) and must be an obligatory part of the school programme. We highly recommend students to come either from the local region or to be accompanied by an adult during the entire stay at CERN as well as having the necessary financial means to cover the costs in the area (see attachment)
Requirements: “Job shadowing” must be an obligatory part of the school programme. Appointment Conditions; The application must be submitted at least 2 months before the start date of the job shadowing; The maximum duration of “job shadowing” is four weeks in a year; You come from the local region or you will be accompanied by an adult during the entire stay at CERN and you have the necessary financial means to cover the costs in the area; This is an unpaid “job shadowing” experience

Workload: 100%
Duties: Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Experience in single cell data analyses and integrative multi-omics approaches is a strong plus; A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects; Oversee junior-level data scientists on data cleaning and creation of analytic files and mentor junior-level data scientists in the area of conducting collaborative research; Lead methodological projects related to collaborations on topics including the evaluation of software or methods as well as the development of novel methods, as need arises within QSU collaborative projects
Requirements: Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field; Capable of functioning independently and collaboratively at an advanced level under the overall direction of the QSU Director; Experience with multiple programming languages such as Python and R; Outstanding oral and written communication skills with the ability to communicate technical information to all audiences; Skilled in descriptive analysis, modeling of data, and graphic interfaces; Demonstrated expertise in analytic tools

Duties: Lead the development of new bioinformatics workflows, including, but not limited to: whole genome/exome sequencing, RNAseq (single-cell, bulk, spatial), ChIP-Seq, ATAC-seq (single-cell and bulk), proteomics, and metabolomics; Collaborate with our full-stack engineering team on making these workflows efficient and performant; Engage directly with customers (both biologists and bioinformaticians) on their deployment of the Watershed platform, ensure the technical success of client engagements, and communicate customer feedback and feature requests to the broader team
Requirements: Expertise in bioinformatics workflows (2+ of the above preferred; PhD preferred); Strong biology background and excellent interpersonal communication skills; Knowledge of bioinformatics and data science best practices (Quality-control, exploratory data analyses, existing industry standard open-source tools); Experience in Python, R, and/or MATLAB

Duties: Landmark College invites applications for an Assistant Professor of Mathematics. We seek candidates who demonstrate expertise in evidence-based practices in teaching mathematics and who will teach a broad range of undergraduate mathematics courses, including advanced level mathematics courses
Requirements: A doctoral degree in mathematics, mathematics education, or related field and experience teaching at the college level

Duties: Teaching a broad range of both introductory and upper-level statistics and/or mathematics courses. Academic advising and student mentoring are also expected, as well as participating in scholarly activities and standard university service
Requirements: Ph.D. in Statistics, Mathematics, or Statistics/Mathematics Education with a Master of Mathematics or Statistics, or Ph.D. in a closely related field. Evidence of a strong commitment to undergraduate teaching, mentoring, and curriculum development

Duties: Design, development, and deployment of modern data-intensive scientific applications, within a microservice architecture; Integration of complex bioinformatics data, implementation of specialised algorithms for search/data analysis and use of AI tools; Design and implementation of cloud-ready deployments using containerization and modern cloud technologies; Analysis, refactoring and adaptation of legacy code to conform to new architecture designs; Debugging, testing, troubleshooting
Requirements: PhD or Master’s degree in Computer Science, Biochemistry, Bioinformatics, or a related discipline, or a comparable combination of education and experience developing modern scientific data applications; Experience with Python, document databases (e.g., MongoDB), search and data access tools (e.g., ElasticSearch and GraphQL)

Duties: Design and implement data investigations; Design and implement bioinformatics, genomics and data investigations training workshops; Provide data flow, data curation and data analytics support to projects and researchers; Contribute to the writing research reports, research proposals and research publications; Provide data capture and data analytics support to research projects; Support research mentoring and career development programs; Performs other responsibilities assigned by supervisor
Requirements: Bachelor of Science Degree in Biology; Graduate education (Masters) coursework that include curriculum on action research; Two years of experience in designing and leading training workshops on data investigations; College courses and research experiences includes bioinformatics, genomics and data investigations; Expertise in constructing datasets and interactive visualizations; Certification in Workforce Development

Duties: The Microchemistry, Proteomics, Lipidomics (MPL) and Next Generation Sequencing (NGS) Department is seeking an experienced Scientist/Senior Scientist with a record of high impact research involving the development and application of novel bioinformatic or machine learning algorithms for proteomics to join the group. The new hire will have the opportunity to develop an independent research program and work collaboratively to develop groundbreaking tools and algorithms essential to the high-throughput analysis of cutting-edge proteomics techniques, including single cell proteomics, and apply them to biological questions essential to Genentech’s drug discovery efforts
Requirements: We are looking for a computational leader with rich, demonstrated experience at the intersection of algorithm development and complex biological problems; This position requires a PhD in the computer sciences, Bioinformatics, or a scientific field of study such as Biology, Chemistry, or Biochemistry; A high priority will be placed on demonstrated experience in the application of machine learning approaches, including deep learning, to biological data; Experience with data generated from analytical instrumentation such as mass spectrometers and/or prior proteomics experience is highly desired

Duties: The Luxembourg Institute of Socio-Economic Research is happy to welcome displaced researchers benefiting from the temporary protection status applied at EU level for people who have fled the war in Ukraine, for a period from 3 to 6 months in the field of Human Sciences (economic, social and spatial sciences)
Requirements: These funded research stays aim to offer researchers a secure and stimulating research environment to pursue their research work and/or to be associated with ongoing research projects at LISER for the development of their career. The research stays will be funded either by LISER or by FNR funding through fixed-term employment contracts for a maximum of 6 months (FTE)

Workload: 100%
Duties: The Department of Mathematics in the College of Arts and Sciences at The Ohio State University is accepting applications for a Mathematics Visiting Assistant Professorship. Pending approval, this position would be available effective Autumn Semester 2022. This term position is renewable annually for up to a total of three years. The emphasis is teaching and research. While teaching loads are subject to change, the teaching load is 2-1 (two courses in the autumn and one in the spring semester)
Requirements: Doctorate in Mathematics

Duties: Formulate and carry out experiments on attosecond four‐wave mixing; Analyze and publish results; Work closely with other graduate students, postdoctoral fellows, and principal investigators
Requirements: Ph.D. in chemistry or physics required in the general areas of physical chemistry, chemical physics or atomic/molecular physics; Expertise in molecular/chemical physics and ultrafast lasers is highly desirable; Strong track record of scientific accomplishment and initiative; Strong verbal and written communication skills

Duties: Erweiterung der Optimierungssysteme zur Vermarktung unserer hochflexiblen Wasserkraftwerke; Ableitung mathematischer Modelle vom Kraftwerkseinsatz bis zum Algotrading; Du arbeitest an Optimierungs- und Risikomodellen, Auktionsstrategien, Zeitreihenprognosen sowie am Benchmarking der Algorithmen; Funktionale Programmierung in F# (keine Vorkenntnisse erforderlich), unterstützt durch Python und R; Fragestellungen bei der energiewirtschaftlichen Bewertung von Kraftwerken und Optionalitäten
Requirements: Abschluss eines MINT- oder Wirtschaftsstudiums mit Vertiefung in Operations Research; Kenntnisse in mathematischer Programmierung und Modellierung (GGLP/MILP) und der Lösung mit Solver (z.B. Gurobi, CPLEX); Kenntnisse in Statistik und Datenanalyse, Erfahrung mit hochdimensionalen Daten willkommen; Erfahrung mit modernen Datenanalyseprozessen (Notebook Formate, Data pipelines, Versionskontrolle); Teamgeist und Eigeninitiative gepaart mit einer lösungsorientierten Arbeitsweise

Duties: As an Applied physicist or RF engineer specialised in beam instrumentation systems and RF technology, your main task will be to develop and test state-of-the-art beam position monitoring systems for the CERN accelerator complex and for the next generation beam colliders, in particular the CERN Future Circular Collider (FCC) study mission. The job will involve: Conceptual design and outline of a large scale BPM system with focus on high frequency BPM pickups and RF signal processing; Perform electromagnetic analysis and numerical simulations on BPM pickups and RF signal processing elements, including some beam dynamics investigations; Identify and tailor BPM R&D activities to meet the BPM system requirements; Collaborate with other teams at CERN and abroad on the various aspects related to the BPM system, e.g., operational requirements, system integration, BPM pickup alignment and calibration in connection with the quadrupole magnets; Validation of prototypes with test benches as w...
Requirements: PhD or equivalent relevant experience in the field of applied physics, electrical engineering, RF engineering, or a related field. Experience: Demonstrated experience in the following: Design and realisation of complex radiofrequency electronic systems; Design of beam pickup design; Broadband pulse signal processing; Accelerator physics, with demonstrated ability in the field of analysis and optimization of accelerator performance

Duties: As Accelerator Physicist, you will: Design layouts and optics for injection, extraction and transfer lines systems and simulate the underlying accelerator physics processes; Specify technical equipment system parameters like magnet field strength, homogeneity and aperture, power supply stability, and beam instrumentation functionality; Commission systems with beam, improve their operational performance and evaluate effects in case of non-conformities; Schedule, plan and coordinate beam transfer work packages from design to beam commissioning; Supervise students and post-doctoral Fellows
Requirements: Master's degree or PhD or equivalent relevant experience in the field of accelerator physics or a related field. Experience: Required experience in: Accelerator modelling codes and optics design; Accelerator commissioning, development and performance analysis, in particular expertise in relevant coding and scripting methods

Department: Division of Biosciences - Research Department of Structural and Molecular Biology
Workload: 100%
Duties: This is an exciting opportunity to join Professor Raleigh’s research team at University College London to take part in a collaborative project with Professor Thalassinos’ research team at University College London focused on interdisciplinary studies of amyloid formation by amylin (also known as IAPP). Amylin plays a key role in regulating glucose levels, but aggregates during type-2 diabetics to form pancreatic amyloid. The process of amyloid formation by amylin is toxic to the insulin producing beta-cells
Requirements: PhD (or be studying towards it) in Biochemistry, Biophysics or a related area. Experience with either Mass Spectrometry structural studies of proteins or with solution state studies of amyloid formation or with the biophysics of protein folding or aggregation is critical

Department: Biozentrum - Center for Molecular Life Sciences
Workload: 100%
Duties: The Research Data Officer (RDO) is responsible for building and managing the Research Data Ecosystem of the consortium. The RDO is a member of the extended management team of NCCR AntiResist and a member of the Data Management Committee of NCCR AntiResist. The research data of the project will be distributed on a heterogeneous set of existing, and possibly some new data management systems for different types of data (microscopy, next-generation sequencing, proteomics)
Requirements: MSc or PhD in Computer Science or Bioinformatics with experience in supporting Life Science research, alternatively an equivalent degree in a life science discipline with a strong background in big data and data management/data stewardship; Proficient in managing life-science data over the entire data life cycle: from data capture, annotation with controlled vocabularies/ontologies, QC and curation, to publication in domain-specific repositories (e.g. Pride, EGA, PDB, etc.); Min. 3 years of experience working in a support role with more than one research data management system (e.g. LIMS (e.g. Labkey), ELN, data type-specific data management system (Omero, Orthanc, etc.)

Duration: 3 y
Duties: You are expected to contribute to DTU’s collaborations with the Danish Hearing Aid companies and help in the knowledge transfer from DTU to the industrial partners; You will engage in DTU’s teaching and supervision activities; You will be responsible for the systematic planning and following up on your research project, and to ensure the scientific integrity of your research
Requirements: You need to have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in engineering, physics, material science, or related fields; Background in mechanical or manufacturing engineering; Experience with additive manufacturing processes; Knowledge in light-sensitive materials especially with photopolymers

Workload: 100%
Duties: Execution of innovative research projects in the field of industrial biocatalysis; Application and development of novel methods to leverage protein structure data for enzyme engineering; Implementing and utilizing state-of-the-art machine learning methods to gain insights from enzyme structure-activity relationships for improved experimental design; Statistical analysis of enzyme engineering data to validate experimental quality; Developing and expanding the relevant laboratory infrastructure
Requirements: PhD in bioinformatics, chemistry, biochemistry, computational biology, or equivalent combination of education and experience to perform independently at this level; Working knowledge of state-of-the-art bioinformatics, computational biology, and protein/small molecules modeling tools; Proficient in statistics and able to apply it to experimental design and analysis; Experience in modeling, de novo prediction, visualization and analysis of protein structures, small molecule docking and molecular dynamics of protein/small molecules; Programming experience in Python, Perl, R and working knowledge of Rosetta or similar computational packages; Experience and proven expertise in analysis of large datasets; Experience in carrying out multiple sequence alignments, phylogenetic reconstruction, sequence similarity networks as well as processing, quality control and statistical analysis of internal and external biological data sets including Next Generation Sequencing (NGS) data would be a plus

Duties: Apply and develop suitable fluid dynamic models; Run calculations and validate the results; Disseminate the results in journal publications and on related conferences; Manage the research project and coordinate the partner organizations
Requirements: A PhD degree in Mechanical Engineering, Energy Engineering, Process Engineering, or related fields; Sound publication track record in Computational Fluid Dynamics; Highly committed, excellent team-worker, and strong critical thinking skills; Excellent written and verbal communication skills in English

Department: Rovira i Virgili University (URV)
Duration: temporary       
Workload: 100%
Duties: The Serra Húnter Programme (SHP) is offering 19 positions as tenure-eligible lecturer and 1 as associate professor in different fields of study at the public universities of Catalonia (Spain). Successful candidates will be hired by the university offering the position and are expected to cooperate with existing groups and/or develop new lines of research, complementary to those already in place. Please note that these positions also entail teaching obligations. In order to participate, candidates must hold a PhD and have an excellent research and teaching record
Requirements: Required Research Experiences; Research Field: Environmental science › Earth science; Years of Research Experience: 1 - 4; Offer Requirements; Required Education Level: Environmental science: PhD or equivalent; Required Languages: English: Excellent; Skills/Qualifications Typical candidates are the ones having spent at least two or three postdoc years with international exposure. At this level, they are expected to have published in good venues in their fields. They should also have teaching experience. English at a professional level is a requirement; knowledge of Catalan or Spanish is not a requirement (language training will be provided to new faculty by the university)

Duties: This project aims at the development of novel sensing and control approaches to enable a higher degree of autonomy for microsatellites in constellations and for the distributed control of autonomous formation flight of microsatellites. Together with LuxSpace, the research results will be implemented in a development tool and tested using suitable multi-satellite test scenarios. In addition, the candidate will also be involved in other research projects related to the control of spacecraft and space robots. In general, the candidate is expected to perform the following tasks:
Requirements: A PhD degree in Space or Aerospace Engineering, Electrical or Mechanical Engineering, Robotics, Mechatronics, or a closely related field, with a main focus on Control Engineering for Space Systems; At least 3 published journal papers in top 10% international journals of the field, and/or a strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record in one or some of the following areas: control of satellites, spacecraft or space robots (especially model predictive, nonlinear, distributed and/or stochastic control), optimization and machine learning, observer design and estimation, modelling of space systems

Duration: 1.5 y
Duties: The successful candidate will work at the interface of space-time statistics, stochastic meteorology and their application to plant disease modelling in order to design a new SWG dedicated to plant epidemiological surveillance. The intended SWG should be multivariate (incl. at least Precipitation, Temperature and solar radiation), able to perform daily (and possibly sub-daily) simulations, and must cover the entire France with a 8km x 8km spatial resolution
Requirements: Applicants must hold a PhD in statistics, data science, or a related field, and are expected to have experience in at least one of the following research areas: (i) spatial statistics, including spatio-temporal statistics; (ii) multivariate statistics; (iii) Stochastic Weather Generators or stochastic hydrology. She/he must show strong interest in hydro-climatic applications and other fields in relation with the BEYOND project

Duties: Utilize bioinformatics expertise for database mining, gene prediction, gene annotation, enzyme discovery, genome assembly, and genomic comparisons; Analyze & generate insights from multi-omics data (e.g. genomics, transcriptomics, proteomics, metabolomics) and work with other members in R&D and the Systems Bioengineering team to identify metabolic engineering and process development targets. Prepare material for scientific presentation and consistently share results, experimental design, and execution plans with project teams and stakeholders
Requirements: Master’s with 3-5 experience and/or PhD degree in Bioinformatics, Chemical/Biochemical Engineering, Bioengineering, Bioprocess Engineering, Microbiology or related field with 0-2 years related industrial experience; Experience with one or more programming languages (e.g. Python, Matlab, Java, javascript); Familiar with statistical packages (e.g. scikit-learn, scipy) to prepare data (denoising, feature selection, normalization, etc.), and discover patterns (clustering, dimensionality reduction, regression, neural networks, etc.) within multi-dimensional biological data